Continue active refreshing of this index's data?
Continue active refreshing of this index's data?
BLUE CHIP INDICES
DAX 30 ESG
Index Description
The DAX 30 ESG tracks the performance of the HDAX after applying a set of compliance, involvement and ESG performance screen. Companies that are non-compliant based on the ISS-ESG Norms Based Screening assessment or are involved in Controversial Weapons are not eligible for selection. Additional exclusion filters are applied, screening companies for involvement in Tobacco, Civilian Firearms, Nuclear Power, Military Contracting, Coal, Oil ; Gas and Energy production, aligned with the EU Paris Aligned Benchmarks (PAB) exclusions. This index applies screens in alignment with the ESMA guidelines on funds’ names and the BSW sustainable finance codex using ESG or sustainability-related terms. Index Guides, Benchmark statement, and other reports are available under the Data ; Methodology tab.
Key facts
- Der Index besteht aus 30 grossen auf ESG-Kriterien geprueften deutschen Aktien, die an der Frankfurter Wertpapierboerse (FWB) notiert sind.
- Die angewendeten Nachhaltigkeitsfilter basieren auf Richtlinien in Bezug auf verantwortliches Investieren und zielen darauf ab, die Reputations- und idiosynkratischen Risiken zu minimieren.
- Das Screening wird vom ESG-Datenanbieter ISS-ESG durchgefuehrt.
- Der Index profitiert von einem transparenten, streubesitzbereinigten, auf Marktkapitalisierung basierenden Gewichtungsschema, aehnlich wie beim Hauptindex.
- Der Index eignet sich als Basiswert fuer Mandate, passive Fonds, ETFs, strukturierte Produkte und boersennotierte Derivate.
Descriptive Statistics
| Index | Market Cap (EUR bn) | Components (EUR bn) | Component weight (%) | Turnover (%) | |||||
|---|---|---|---|---|---|---|---|---|---|
| Full | Free-float | Mean | Median | Largest | Smallest | Largest | Smallest | Last 12 monts | |
| DAX 30 ESG | 939.4 | 751.3 | 25.0 | 13.5 | 81.8 | 1.9 | 10.9 | 0.3 | 29.9 |
| DAX | 2,047.8 | 1,736.6 | 43.4 | 24.2 | 192.7 | 5.5 | 11.1 | 0.3 | 6.4 |
Supersector weighting (top 10)
| Insurance | 18.7 |
|---|---|
| Industrial Goods and Services | 16.7 |
| Telecommunications | 10.6 |
| Healthcare | 9.1 |
| Technology | 9.1 |
| Banks | 8.6 |
| Automobiles and Parts | 6.3 |
| Financial Services | 5.4 |
| Construction and Materials | 4.8 |
| Consumer Products and Services | 3.4 |
Country weighting
| Germany | 100.0 |
|---|
Risk and return figures1
| Index returns | Return (%) | Annualized return (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Last month | YTD | 1Y | 3Y | 5Y | Last month | YTD | 1Y | 3Y | 5Y | |
| DAX 30 ESG | -2.5 | -2.5 | 6.3 | 57.1 | 72.3 | N/A | N/A | 6.5 | 16.6 | 11.6 |
| DAX | 0.2 | 0.2 | 12.3 | 58.8 | 76.4 | N/A | N/A | 12.7 | 17.1 | 12.2 |
| Index volatility and risk | Annualized volatility (%) | Annualized Sharpe ratio2 | ||||||||
| DAX 30 ESG | N/A | N/A | 17.8 | 14.6 | 17.2 | N/A | N/A | 0.2 | 0.9 | 0.5 |
| DAX | N/A | N/A | 18.0 | 14.6 | 16.8 | N/A | N/A | 0.5 | 0.9 | 0.5 |
| Index to benchmark | Correlation | Tracking error (%) | ||||||||
| DAX 30 ESG | 0.9 | 0.9 | 1.0 | 1.0 | 1.0 | 6.9 | 6.9 | 4.6 | 3.5 | 3.4 |
| Index to benchmark | Beta | Annualized information ratio | ||||||||
| DAX 30 ESG | 0.8 | 0.8 | 1.0 | 1.0 | 1.0 | -5.0 | -5.0 | -1.2 | -0.1 | -0.2 |
1For information on data calculation, please refer to STOXX calculation reference guide
2Based on EURIBOR1M
(EUR, Net Return), all data as of January 30, 2026
BLUE CHIP INDICES
DAX 30 ESG
Fundamentals
| Index | Price/earnings incl. negative | Price/earnings excl. negative | Price/book | Dividend yield (%)3 | Price/sales | Price/cash flow | ||
|---|---|---|---|---|---|---|---|---|
| Trailing | Projected | Trailing | Projected | Trailing | Trailing | Trailing | ||
| DAX 30 ESG | 19.1 | 14.7 | 15.0 | 14.7 | 1.7 | 1.9 | 1.3 | 15.9 |
| DAX | 22.1 | 17.2 | 18.8 | 17.2 | 1.9 | 2.1 | 1.1 | 24.2 |
Performance and annual returns
| DAX 30 ESG | |
|---|---|
| 1699574400000 | 1204.42 |
| 1699833600000 | 1212.14 |
| 1699920000000 | 1233.23 |
| 1700006400000 | 1244.97 |
| 1700092800000 | 1248.54 |
| 1700179200000 | 1259.31 |
| 1700438400000 | 1265.99 |
| 1700524800000 | 1266.45 |
| 1700611200000 | 1273.73 |
| 1700697600000 | 1276.83 |
| 1700784000000 | 1280.42 |
| 1701043200000 | 1277.28 |
| 1701129600000 | 1279.29 |
| 1701216000000 | 1293.3 |
| 1701302400000 | 1297.66 |
| 1701388800000 | 1311.48 |
| 1701648000000 | 1314.25 |
| 1701734400000 | 1322.6199 |
| 1701820800000 | 1327.32 |
| 1701907200000 | 1325.76 |
| 1701993600000 | 1333.8 |
| 1702252800000 | 1336.6199 |
| 1702339200000 | 1336.84 |
| 1702425600000 | 1335.96 |
| 1702512000000 | 1332.58 |
| 1702598400000 | 1330.53 |
| 1702857600000 | 1323.06 |
| 1702944000000 | 1330.31 |
| 1703030400000 | 1332.57 |
| 1703116800000 | 1328.06 |
| 1703203200000 | 1326.53 |
| 1703635200000 | 1328.16 |
| 1703721600000 | 1323.81 |
| 1703808000000 | 1328.27 |
| 1704153600000 | 1327.84 |
| 1704240000000 | 1312.3699 |
| 1704326400000 | 1313.1099 |
| 1704412800000 | 1309.99 |
| 1704672000000 | 1319.6 |
| 1704758400000 | 1315.19 |
| 1704844800000 | 1314.95 |
| 1704931200000 | 1303.42 |
| 1705017600000 | 1313.41 |
| 1705276800000 | 1308.08 |
| 1705363200000 | 1303.42 |
| 1705449600000 | 1292.57 |
| 1705536000000 | 1303.21 |
| 1705622400000 | 1303.34 |
| 1705881600000 | 1314.67 |
| 1705968000000 | 1311.1099 |
| 1706054400000 | 1332.01 |
| 1706140800000 | 1333.6099 |
| 1706227200000 | 1341.02 |
| 1706486400000 | 1339.25 |
| 1706572800000 | 1340.67 |
| 1706659200000 | 1334.73 |
| 1706745600000 | 1333.31 |
| 1706832000000 | 1336.69 |
| 1707091200000 | 1337.66 |
| 1707177600000 | 1347.69 |
| 1707264000000 | 1339.18 |
| 1707350400000 | 1341.7 |
| 1707436800000 | 1339.23 |
| 1707696000000 | 1351.24 |
| 1707782400000 | 1338.98 |
| 1707868800000 | 1345.3 |
| 1707955200000 | 1353.44 |
| 1708041600000 | 1359.06 |
| 1708300800000 | 1359.06 |
| 1708387200000 | 1356.59 |
| 1708473600000 | 1359.63 |
| 1708560000000 | 1382.67 |
| 1708646400000 | 1383.17 |
| 1708905600000 | 1384.1 |
| 1708992000000 | 1394.95 |
| 1709078400000 | 1393.02 |
| 1709164800000 | 1400.22 |
| 1709251200000 | 1410.48 |
| 1709510400000 | 1406.09 |
| 1709596800000 | 1408.73 |
| 1709683200000 | 1414.66 |
| 1709769600000 | 1425.39 |
| 1709856000000 | 1426.06 |
| 1710115200000 | 1421.4 |
| 1710201600000 | 1439.14 |
| 1710288000000 | 1442.74 |
| 1710374400000 | 1441.81 |
| 1710460800000 | 1438.53 |
| 1710720000000 | 1435.13 |
| 1710806400000 | 1438.99 |
| 1710892800000 | 1437.72 |
| 1710979200000 | 1448.39 |
| 1711065600000 | 1447.16 |
| 1711324800000 | 1451.8599 |
| 1711411200000 | 1459.88 |
| 1711497600000 | 1469.3 |
| 1711584000000 | 1472.04 |
| 1712016000000 | 1458.1199 |
| 1712102400000 | 1460 |
| 1712188800000 | 1461.16 |
| 1712275200000 | 1441.43 |
| 1712534400000 | 1452.27 |
| 1712620800000 | 1439.05 |
| 1712707200000 | 1444.34 |
| 1712793600000 | 1428.93 |
| 1712880000000 | 1424.15 |
| 1713139200000 | 1433.59 |
| 1713225600000 | 1413.49 |
| 1713312000000 | 1416.44 |
| 1713398400000 | 1424.48 |
| 1713484800000 | 1419.02 |
| 1713744000000 | 1430.25 |
| 1713830400000 | 1450.94 |
| 1713916800000 | 1449.65 |
| 1714003200000 | 1440.01 |
| 1714089600000 | 1458.08 |
| 1714348800000 | 1455.22 |
| 1714435200000 | 1440.3599 |
| 1714608000000 | 1435.1 |
| 1714694400000 | 1439.93 |
| 1714953600000 | 1455.17 |
| 1715040000000 | 1476.8699 |
| 1715126400000 | 1486.03 |
| 1715212800000 | 1498.2 |
| 1715299200000 | 1510.2 |
| 1715558400000 | 1506.18 |
| 1715644800000 | 1506.08 |
| 1715731200000 | 1517.13 |
| 1715817600000 | 1506.08 |
| 1715904000000 | 1502.51 |
| 1716163200000 | 1505.51 |
| 1716249600000 | 1501.76 |
| 1716336000000 | 1500.25 |
| 1716422400000 | 1498.72 |
| 1716508800000 | 1503.07 |
| 1716768000000 | 1508.21 |
| 1716854400000 | 1502.1099 |
| 1716940800000 | 1487.98 |
| 1717027200000 | 1489.78 |
| 1717113600000 | 1491.58 |
| 1717372800000 | 1500.74 |
| 1717459200000 | 1482.81 |
| 1717545600000 | 1496.92 |
| 1717632000000 | 1501.8699 |
| 1717718400000 | 1498.28 |
| 1717977600000 | 1494.47 |
| 1718064000000 | 1485.56 |
| 1718150400000 | 1507.3699 |
| 1718236800000 | 1481.39 |
| 1718323200000 | 1462.04 |
| 1718582400000 | 1464.3599 |
| 1718668800000 | 1466.99 |
| 1718755200000 | 1462.5 |
| 1718841600000 | 1476.25 |
| 1718928000000 | 1465.41 |
| 1719187200000 | 1478.6 |
| 1719273600000 | 1472.6199 |
| 1719360000000 | 1477.05 |
| 1719446400000 | 1482.69 |
| 1719532800000 | 1484.06 |
| 1719792000000 | 1488.34 |
| 1719878400000 | 1473.39 |
| 1719964800000 | 1483.5 |
| 1720051200000 | 1489.84 |
| 1720137600000 | 1493.07 |
| 1720396800000 | 1495.24 |
| 1720483200000 | 1480.15 |
| 1720569600000 | 1494.3599 |
| 1720656000000 | 1504.38 |
| 1720742400000 | 1521.15 |
| 1721001600000 | 1508.94 |
| 1721088000000 | 1501.79 |
| 1721174400000 | 1497.54 |
| 1721260800000 | 1489.75 |
| 1721347200000 | 1472.16 |
| 1721606400000 | 1490.5 |
| 1721692800000 | 1499.85 |
| 1721779200000 | 1484.14 |
| 1721865600000 | 1475.42 |
| 1721952000000 | 1486.77 |
| 1722211200000 | 1483.82 |
| 1722297600000 | 1489.77 |
| 1722384000000 | 1491.96 |
| 1722470400000 | 1459.82 |
| 1722556800000 | 1425.55 |
| 1722816000000 | 1400.99 |
| 1722902400000 | 1400.51 |
| 1722988800000 | 1417.57 |
| 1723075200000 | 1426.95 |
| 1723161600000 | 1430.19 |
| 1723420800000 | 1432.8699 |
| 1723507200000 | 1440.47 |
| 1723593600000 | 1449.52 |
| 1723680000000 | 1471.2 |
| 1723766400000 | 1480.06 |
| 1724025600000 | 1487.08 |
| 1724112000000 | 1482.73 |
| 1724198400000 | 1489.55 |
| 1724284800000 | 1496.07 |
| 1724371200000 | 1508.02 |
| 1724630400000 | 1505.44 |
| 1724716800000 | 1512.66 |
| 1724803200000 | 1524.5 |
| 1724889600000 | 1535.03 |
| 1724976000000 | 1537.26 |
| 1725235200000 | 1540.82 |
| 1725321600000 | 1529.21 |
| 1725408000000 | 1515.7 |
| 1725494400000 | 1515.34 |
| 1725580800000 | 1491.76 |
| 1725840000000 | 1503.19 |
| 1725926400000 | 1493.53 |
| 1726012800000 | 1495.92 |
| 1726099200000 | 1511.28 |
| 1726185600000 | 1527.96 |
| 1726444800000 | 1523.05 |
| 1726531200000 | 1535.97 |
| 1726617600000 | 1532.89 |
| 1726704000000 | 1552.1199 |
| 1726790400000 | 1531.85 |
| 1727049600000 | 1541.57 |
| 1727136000000 | 1552.2 |
| 1727222400000 | 1552.44 |
| 1727308800000 | 1575.47 |
| 1727395200000 | 1593.91 |
| 1727654400000 | 1583.47 |
| 1727740800000 | 1572.22 |
| 1727827200000 | 1569.75 |
| 1727913600000 | 1559.1199 |
| 1728000000000 | 1568.6199 |
| 1728259200000 | 1565.21 |
| 1728345600000 | 1565.29 |
| 1728432000000 | 1583.26 |
| 1728518400000 | 1584.14 |
| 1728604800000 | 1596.63 |
| 1728864000000 | 1609.25 |
| 1728950400000 | 1609.04 |
| 1729036800000 | 1601.89 |
| 1729123200000 | 1612.26 |
| 1729209600000 | 1620.17 |
| 1729468800000 | 1601.8599 |
| 1729555200000 | 1590.64 |
| 1729641600000 | 1585.19 |
| 1729728000000 | 1587.44 |
| 1729814400000 | 1592.95 |
| 1730073600000 | 1599.82 |
| 1730160000000 | 1596.39 |
| 1730246400000 | 1576.58 |
| 1730332800000 | 1562.56 |
| 1730419200000 | 1576.39 |
| 1730678400000 | 1568.8599 |
| 1730764800000 | 1580.5 |
| 1730851200000 | 1568.17 |
| 1730937600000 | 1584.01 |
| 1731024000000 | 1574.6099 |
| 1731283200000 | 1594.13 |
| 1731369600000 | 1564.13 |
| 1731456000000 | 1565.77 |
| 1731542400000 | 1589.38 |
| 1731628800000 | 1584.92 |
| 1731888000000 | 1579.1 |
| 1731974400000 | 1566.58 |
| 1732060800000 | 1564.5 |
| 1732147200000 | 1578.26 |
| 1732233600000 | 1596.23 |
| 1732492800000 | 1608.27 |
| 1732579200000 | 1601.17 |
| 1732665600000 | 1597.3699 |
| 1732752000000 | 1606.78 |
| 1732838400000 | 1623.38 |
| 1733097600000 | 1649.07 |
| 1733184000000 | 1655.81 |
| 1733270400000 | 1670.64 |
| 1733356800000 | 1684.74 |
| 1733443200000 | 1682.89 |
| 1733702400000 | 1676.01 |
| 1733788800000 | 1673.73 |
| 1733875200000 | 1680.87 |
| 1733961600000 | 1674.99 |
| 1734048000000 | 1677.2 |
| 1734307200000 | 1678.43 |
| 1734393600000 | 1671.99 |
| 1734480000000 | 1670.28 |
| 1734566400000 | 1644.63 |
| 1734652800000 | 1635.72 |
| 1734912000000 | 1633.71 |
| 1735257600000 | 1640.8599 |
| 1735516800000 | 1634.67 |
| 1735776000000 | 1642.33 |
| 1735862400000 | 1637.63 |
| 1736121600000 | 1658.99 |
| 1736208000000 | 1670.75 |
| 1736294400000 | 1668.22 |
| 1736380800000 | 1671.84 |
| 1736467200000 | 1655.01 |
| 1736726400000 | 1646.13 |
| 1736812800000 | 1658.96 |
| 1736899200000 | 1681.98 |
| 1736985600000 | 1686.1 |
| 1737072000000 | 1703.59 |
| 1737331200000 | 1704.59 |
| 1737417600000 | 1711.58 |
| 1737504000000 | 1739.09 |
| 1737590400000 | 1751.98 |
| 1737676800000 | 1748.62 |
| 1737936000000 | 1733.62 |
| 1738022400000 | 1748.21 |
| 1738108800000 | 1771.25 |
| 1738195200000 | 1781.95 |
| 1738281600000 | 1778.13 |
| 1738540800000 | 1756.47 |
| 1738627200000 | 1755.37 |
| 1738713600000 | 1760.45 |
| 1738800000000 | 1785.68 |
| 1738886400000 | 1779.72 |
| 1739145600000 | 1790.57 |
| 1739232000000 | 1802.4 |
| 1739318400000 | 1814.89 |
| 1739404800000 | 1845.91 |
| 1739491200000 | 1827.32 |
| 1739750400000 | 1849.22 |
| 1739836800000 | 1853.38 |
| 1739923200000 | 1815.81 |
| 1740009600000 | 1807.69 |
| 1740096000000 | 1807.36 |
| 1740355200000 | 1808.84 |
| 1740441600000 | 1806.15 |
| 1740528000000 | 1841.96 |
| 1740614400000 | 1825.58 |
| 1740700800000 | 1825.56 |
| 1740960000000 | 1864.71 |
| 1741046400000 | 1798.89 |
| 1741132800000 | 1854.18 |
| 1741219200000 | 1877.59 |
| 1741305600000 | 1854.71 |
| 1741564800000 | 1825.86 |
| 1741651200000 | 1797.37 |
| 1741737600000 | 1824.96 |
| 1741824000000 | 1815.86 |
| 1741910400000 | 1844.58 |
| 1742169600000 | 1857.94 |
| 1742256000000 | 1871.99 |
| 1742342400000 | 1871.29 |
| 1742428800000 | 1849.97 |
| 1742515200000 | 1846.98 |
| 1742774400000 | 1839.4 |
| 1742860800000 | 1856.29 |
| 1742947200000 | 1842.5 |
| 1743033600000 | 1837.17 |
| 1743120000000 | 1825.24 |
| 1743379200000 | 1803.73 |
| 1743465600000 | 1829.74 |
| 1743552000000 | 1826.41 |
| 1743638400000 | 1767.94 |
| 1743724800000 | 1679.65 |
| 1743984000000 | 1604.84 |
| 1744070400000 | 1651.06 |
| 1744156800000 | 1603.44 |
| 1744243200000 | 1675.47 |
| 1744329600000 | 1665.76 |
| 1744588800000 | 1715.91 |
| 1744675200000 | 1736.6 |
| 1744761600000 | 1739.53 |
| 1744848000000 | 1743.69 |
| 1745280000000 | 1759.55 |
| 1745366400000 | 1806.78 |
| 1745452800000 | 1813.36 |
| 1745539200000 | 1823.74 |
| 1745798400000 | 1822.34 |
| 1745884800000 | 1829.81 |
| 1745971200000 | 1834.59 |
| 1746144000000 | 1873.5 |
| 1746403200000 | 1893.72 |
| 1746489600000 | 1885.91 |
| 1746576000000 | 1874.91 |
| 1746662400000 | 1884.95 |
| 1746748800000 | 1898.87 |
| 1747008000000 | 1901.75 |
| 1747094400000 | 1896.52 |
| 1747180800000 | 1893.49 |
| 1747267200000 | 1904.89 |
| 1747353600000 | 1909.78 |
| 1747612800000 | 1924.52 |
| 1747699200000 | 1932.28 |
| 1747785600000 | 1938.9 |
| 1747872000000 | 1930.89 |
| 1747958400000 | 1903.2 |
| 1748217600000 | 1931.45 |
| 1748304000000 | 1946.48 |
| 1748390400000 | 1924.87 |
| 1748476800000 | 1915.72 |
| 1748563200000 | 1923.32 |
| 1748822400000 | 1925.92 |
| 1748908800000 | 1930.63 |
| 1748995200000 | 1938.87 |
| 1749081600000 | 1942.53 |
| 1749168000000 | 1946.32 |
| 1749427200000 | 1932.4 |
| 1749513600000 | 1913.09 |
| 1749600000000 | 1907.36 |
| 1749686400000 | 1888.25 |
| 1749772800000 | 1863.97 |
| 1750032000000 | 1888.25 |
| 1750118400000 | 1864.6 |
| 1750204800000 | 1851.4 |
| 1750291200000 | 1831.64 |
| 1750377600000 | 1851.14 |
| 1750636800000 | 1844.71 |
| 1750723200000 | 1883.58 |
| 1750809600000 | 1874.36 |
| 1750896000000 | 1876.83 |
| 1750982400000 | 1916.04 |
| 1751241600000 | 1905.5 |
| 1751328000000 | 1888.53 |
| 1751414400000 | 1895.99 |
| 1751500800000 | 1907.28 |
| 1751587200000 | 1892.94 |
| 1751846400000 | 1917.4 |
| 1751932800000 | 1917.64 |
| 1752019200000 | 1946.06 |
| 1752105600000 | 1937.68 |
| 1752192000000 | 1922.34 |
| 1752451200000 | 1910.68 |
| 1752537600000 | 1906.42 |
| 1752624000000 | 1902.86 |
| 1752710400000 | 1929.34 |
| 1752796800000 | 1920.66 |
| 1753056000000 | 1921.29 |
| 1753142400000 | 1905.23 |
| 1753228800000 | 1934.37 |
| 1753315200000 | 1951.31 |
| 1753401600000 | 1944.22 |
| 1753660800000 | 1921.72 |
| 1753747200000 | 1943.5 |
| 1753833600000 | 1940.8 |
| 1753920000000 | 1928.96 |
| 1754006400000 | 1874.85 |
| 1754265600000 | 1900.61 |
| 1754352000000 | 1904.5 |
| 1754438400000 | 1914.17 |
| 1754524800000 | 1943.62 |
| 1754611200000 | 1938.1 |
| 1754870400000 | 1937.7 |
| 1754956800000 | 1931.53 |
| 1755043200000 | 1937.86 |
| 1755129600000 | 1949.36 |
| 1755216000000 | 1945.78 |
| 1755475200000 | 1945.41 |
| 1755561600000 | 1956.32 |
| 1755648000000 | 1951.58 |
| 1755734400000 | 1949.49 |
| 1755820800000 | 1957.36 |
| 1756080000000 | 1947.83 |
| 1756166400000 | 1938.87 |
| 1756252800000 | 1927.85 |
| 1756339200000 | 1928.31 |
| 1756425600000 | 1915.71 |
| 1756684800000 | 1920.16 |
| 1756771200000 | 1875.53 |
| 1756857600000 | 1882.78 |
| 1756944000000 | 1903.54 |
| 1757030400000 | 1888.98 |
| 1757289600000 | 1897.91 |
| 1757376000000 | 1892.49 |
| 1757462400000 | 1885.72 |
| 1757548800000 | 1885.95 |
| 1757635200000 | 1885.64 |
| 1757894400000 | 1886.55 |
| 1757980800000 | 1852.54 |
| 1758067200000 | 1852.55 |
| 1758153600000 | 1874.63 |
| 1758240000000 | 1870.53 |
| 1758499200000 | 1857.57 |
| 1758585600000 | 1865.85 |
| 1758672000000 | 1862.66 |
| 1758758400000 | 1849.14 |
| 1758844800000 | 1870.11 |
| 1759104000000 | 1867.91 |
| 1759190400000 | 1876.76 |
| 1759276800000 | 1894.98 |
| 1759363200000 | 1913.7 |
| 1759449600000 | 1912.72 |
| 1759708800000 | 1920.28 |
| 1759795200000 | 1922.66 |
| 1759881600000 | 1934.97 |
| 1759968000000 | 1936.48 |
| 1760054400000 | 1913.38 |
| 1760313600000 | 1923.57 |
| 1760400000000 | 1915.45 |
| 1760486400000 | 1910.18 |
| 1760572800000 | 1913.34 |
| 1760659200000 | 1884.34 |
| 1760918400000 | 1910.27 |
| 1761004800000 | 1913.38 |
| 1761091200000 | 1906.72 |
| 1761177600000 | 1905.88 |
| 1761264000000 | 1909.02 |
| 1761523200000 | 1915.91 |
| 1761609600000 | 1912.18 |
| 1761696000000 | 1898.19 |
| 1761782400000 | 1894.18 |
| 1761868800000 | 1875.23 |
| 1762128000000 | 1882.12 |
| 1762214400000 | 1870.71 |
| 1762300800000 | 1885.07 |
| 1762387200000 | 1856.92 |
| 1762473600000 | 1846.15 |
| 1762732800000 | 1873.09 |
| 1762819200000 | 1889.11 |
| 1762905600000 | 1911.55 |
| 1762992000000 | 1891.28 |
| 1763078400000 | 1874.01 |
| 1763337600000 | 1845.41 |
| 1763424000000 | 1815.67 |
| 1763510400000 | 1821.45 |
| 1763596800000 | 1822.91 |
| 1763683200000 | 1827.72 |
| 1763942400000 | 1836.07 |
| 1764028800000 | 1861.45 |
| 1764115200000 | 1873.29 |
| 1764201600000 | 1875.67 |
| 1764288000000 | 1883.3 |
| 1764547200000 | 1873.34 |
| 1764633600000 | 1875.06 |
| 1764720000000 | 1861.42 |
| 1764806400000 | 1883.79 |
| 1764892800000 | 1897.47 |
| 1765152000000 | 1893.55 |
| 1765238400000 | 1901.16 |
| 1765324800000 | 1897.69 |
| 1765411200000 | 1918.74 |
| 1765497600000 | 1909.48 |
| 1765756800000 | 1914.16 |
| 1765843200000 | 1910.61 |
| 1765929600000 | 1902.26 |
| 1766016000000 | 1918.33 |
| 1766102400000 | 1922.95 |
| 1766361600000 | 1927.71 |
| 1766448000000 | 1929.79 |
| 1766966400000 | 1931.68 |
| 1767052800000 | 1939.62 |
| 1767312000000 | 1926.83 |
| 1767571200000 | 1938.84 |
| 1767657600000 | 1937.96 |
| 1767744000000 | 1942.09 |
| 1767830400000 | 1952.72 |
| 1767916800000 | 1954.7 |
| 1768176000000 | 1967.5 |
| 1768262400000 | 1958.94 |
| 1768348800000 | 1954.2 |
| 1768435200000 | 1954.93 |
| 1768521600000 | 1941.38 |
| 1768780800000 | 1915.55 |
| 1768867200000 | 1895.69 |
| 1768953600000 | 1881.96 |
| 1769040000000 | 1912.61 |
| 1769126400000 | 1902.83 |
| 1769385600000 | 1907.95 |
| 1769472000000 | 1900.15 |
| 1769558400000 | 1896.69 |
| 1769644800000 | 1867.45 |
| 1769731200000 | 1890.9 |
| DAX 30 ESG | DAX | |
|---|---|---|
| 2023 | 21.70895374315 | 19.50706140856 |
| 2024 | 23.672490862841 | 18.470327768587 |
| 2025 | 19.218024374029 | 22.978583321372 |
| 2026 | -27.018278722755 | 2.4709484392352 |
Methodology
The DAX 30 ESG index excludes companies with significant revenue from controversial activities, based on ISS ESG data. These include any involvement in tobacco production, ≥5% revenue from tobacco-related services or distribution, any revenue from coal mining or processing, ≥1% from coal marketing, or ≥5% from coal-based power generation. Companies are also excluded if they have ≥5% revenue from oil and gas extraction, refining, or processing; ≥10% from oil-related activities including distribution; or ≥50% from gas operations. Firms generating ≥50% of electricity with high GHG intensity (>100g CO₂e/kWh), any involvement in arctic drilling, oil sands, or fracking, and ≥5% revenue from nuclear power production or services are also excluded. Additionally, companies with any revenue from civilian firearm production, ≥5% from firearm distribution, or ≥5% from military contracting are excluded. From the remaining universe, the 60 largest companies by free-float market capitalization (per the latest DAX selection list) are shortlisted. Of these, the 30 with the highest ESG Performance Scores from ISS ESG are selected for the index. In the case of a tie in ESG scores, the company with the larger free-float market capitalization is chosen.
| Index | ISIN | Symbol | Bloomberg | Reuters |
|---|---|---|---|---|
| Price EUR | DE000A3EX321 | DAX3ESGK | DAX3ESGK INDEX | .DAX3ESGK |
| Net Return EUR | DE000A3EX313 | DAX3ESGN | DAX3ESGN INDEX | .DAX3ESGN |
| Gross Return EUR | DE000A3EX305 | DAX3ESGG | DAX3ESGG INDEX | .DAX3ESGG |
Quick Facts
| Weighting | Streubesitz-Marktkapitalisierung |
| Cap Factor | 0.1 |
| No. of components | 30 |
| Review frequency | Vierteljaehrlich |
| Calculation/distribution | Echtzeit, 1 sec |
| Calculation hours | 9:00 - 18:00 CET |
| Base value/base date | 1.000 zum 20. März 2017 |
| History | Verfuegbar seit dem 20. Maerz 2017 |
| Inception date | 10. Nov. 2023 |
| To learn more about the inception date, currency versions, calculation hours and historical values, please see our data vendor code sheet. | |
Top 10 Components4
| Company | Supersector | Country | Weight |
|---|---|---|---|
| SIEMENS | Industrials | Germany | 10.889% |
| DEUTSCHE TELEKOM | Telecomunication | Germany | 10.619% |
| ALLIANZ | Finance, Insurance and Real Estate | Germany | 9.826% |
| MUENCHENER RUECK | Finance, Insurance and Real Estate | Germany | 8.911% |
| DEUTSCHE BANK | Finance, Insurance and Real Estate | Germany | 8.636% |
| SAP | Information Technology | Germany | 8.270% |
| MERCEDES-BENZ GROUP | Consumer Goods | Germany | 5.537% |
| DEUTSCHE BOERSE | Finance, Insurance and Real Estate | Germany | 5.346% |
| HEIDELBERG MATERIALS | Industrials | Germany | 3.933% |
| ADIDAS | Consumer Goods | Germany | 3.391% |
3Net dividend yield is calculated as net return index return minus price index return
4Based on the composition as of January 30, 2026
CONTACT DETAILS
- STOXX customer support
- P +41 43 430 7272
- customersupport@stoxx.com
- https://stoxx.com/support/
DISCLAIMER
STOXX, Deutsche Börse Group and their licensors, research partners or data providers do not make any warranties or representations, express or implied, with respect to the timeliness, sequence, accuracy, completeness, currentness, merchantability, quality or fitness for any particular purpose of its index data and exclude any liability in connection therewith. STOXX, Deutsche Börse Group and their licensors, research partners or data providers are not providing investment advice through the publication of indices or in connection therewith. In particular, the inclusion of a company in an index, its weighting, or the exclusion of a company from an index, does not in any way reflect an opinion of STOXX, Deutsche Börse Group or their licensors, research partners or data providers on the merits of that company. Financial instruments based on the STOXX indices, DAX indices or on any other indices supported by STOXX are in no way sponsored, endorsed, sold or promoted by STOXX, Deutsche Börse Group or their licensors, research partners or data providers.
BACKTESTED PERFORMANCE
This document contains index performance data based on backtesting, i.e. calculations of how the index might have performed prior to launch if it had existed using the same index methodology and based on historical constituents. Backtested performance information is purely hypothetical and is provided in this document solely for information purposes. Backtested performance does not represent actual performance and should not be interpreted as an indication of actual performance.
CUSTOMIZATION
The index can be used as a basis for the definition of STOXX Customized Indices, which can be tailored to specific client or mandate needs. STOXX offers a wide range of customization, in terms of component selection, weighting schemes and personalized calculation methodologies.
CONTACT DETAILS
- STOXX customer support
- P +41 43 430 7272
- customersupport@stoxx.com
- https://stoxx.com/support/
DISCLAIMER
STOXX, Deutsche Börse Group and their licensors, research partners or data providers do not make any warranties or representations, express or implied, with respect to the timeliness, sequence, accuracy, completeness, currentness, merchantability, quality or fitness for any particular purpose of its index data and exclude any liability in connection therewith. STOXX, Deutsche Börse Group and their licensors, research partners or data providers are not providing investment advice through the publication of indices or in connection therewith. In particular, the inclusion of a company in an index, its weighting, or the exclusion of a company from an index, does not in any way reflect an opinion of STOXX, Deutsche Börse Group or their licensors, research partners or data providers on the merits of that company. Financial instruments based on the STOXX indices, DAX indices or on any other indices supported by STOXX are in no way sponsored, endorsed, sold or promoted by STOXX, Deutsche Börse Group or their licensors, research partners or data providers.
BACKTESTED PERFORMANCE
This document contains index performance data based on backtesting, i.e. calculations of how the index might have performed prior to launch if it had existed using the same index methodology and based on historical constituents. Backtested performance information is purely hypothetical and is provided in this document solely for information purposes. Backtested performance does not represent actual performance and should not be interpreted as an indication of actual performance.
CUSTOMIZATION
The index can be used as a basis for the definition of STOXX Customized Indices, which can be tailored to specific client or mandate needs. STOXX offers a wide range of customization, in terms of component selection, weighting schemes and personalized calculation methodologies.