🇩🇪 Xetra Germany Stock Screener — DAX 40 Quotes & Fundamentals

Track Frankfurt Xetra and DAX 40 / MDAX constituents with prices, market cap (EUR), P/E ratio, P/B ratio, dividend yield, EPS, beta, RSI, 52-week range, sector and industry — for every German listed company that matters. A Bloomberg Terminal alternative for European institutional research, hedge fund equity desks, family offices, retail brokers and quant pipelines focused on Deutschland's USD 2 trillion equity market.

📊 Sample Output

If you cover European equities, you already know the DAX 40 is the eurozone's most-traded benchmark index and Germany is the EU's largest single-country equity allocation. This actor turns that universe into clean JSON in seconds: SAP, Siemens, Allianz, Deutsche Telekom, Mercedes-Benz, BMW, BASF, Bayer, Volkswagen, Linde, Adidas, Infineon, DHL, Munich Re, Deutsche Bank, Porsche AG, Deutsche Börse, RWE, E.ON, Continental, Henkel, Heidelberg Materials, Siemens Healthineers, Daimler Truck, Siemens Energy, Airbus, Rheinmetall, Brenntag, MTU Aero Engines, Symrise, Beiersdorf, Fresenius, Vonovia, Zalando, Sartorius, Hannover Re, Qiagen, Commerzbank, PUMA, Porsche Holding — every name you'd ever need to model, hedge, or pair-trade.

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What you get per stock

{
  "symbol": "SAP",
  "name": "SAP SE",
  "ticker_yahoo": "SAP.DE",
  "exchange": "XETR",
  "exchange_name": "Xetra (Frankfurt)",
  "country": "Germany",
  "currency": "EUR",
  "price_eur": 147.18,
  "previous_close_eur": 151.38,
  "open_eur": 149.74,
  "pct_change": -1.43,
  "market_cap_eur": 170700000000.0,
  "market_cap_billion_eur": 170.70,
  "market_cap_display": "170.70B",
  "pe_ratio": 23.43,
  "forward_pe": 19.51,
  "pb_ratio": 5.4,
  "eps_eur": 6.24,
  "dividend_eur": 2.50,
  "dividend_yield_pct": 1.71,
  "ex_dividend_date": "May 7, 2026",
  "shares_outstanding": 1170000000,
  "net_income_eur": 7310000000,
  "volume": 2874768,
  "avg_volume": 3210000,
  "week52_low_eur": 137.54,
  "week52_high_eur": 273.55,
  "day_low_eur": 146.50,
  "day_high_eur": 148.40,
  "beta": 0.71,
  "rsi": 45.30,
  "sector": "Technology",
  "industry": "Software Application",
  "is_dax40": true,
  "is_mdax": false,
  "stockanalysis_url": "https://stockanalysis.com/quote/etr/SAP/",
  "yahoo_finance_url": "https://finance.yahoo.com/quote/SAP.DE",
  "scraped_at": "2026-05-10T07:42:00Z",
  "earnings_date": "Jul 22, 2026"
}

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Why this actor exists

The Frankfurt Stock Exchange listing on most data aggregators is a trap. It mashes together native German Aktiengesellschaften with thousands of foreign cross-listed ADRs that trade in EUR but represent NVIDIA, Alphabet, Realty Income, DTE Energy, AutoZone — none of which you actually want when you screen "German equities." The ticker DTE on the merged Frankfurt list points at DTE Energy (a US utility), even though ETR:DTE on Xetra is Deutsche Telekom. Same ticker, two completely different securities, multibillion-EUR market-cap delta.

This actor solves that by hitting Xetra-specific detail pages (stockanalysis.com/quote/etr/{ticker}/) for every DAX 40 and MDAX constituent we hardcode. That guarantees DTE = Deutsche Telekom, BAYN = Bayer, MUV2 = Munich Re, VOW3 = Volkswagen — the real Xetra securities at their real EUR-denominated prices. For Xetra-all mode we filter the raw Frankfurt listing by company-legal-form suffix (AG, SE, KGaA, Aktiengesellschaft, N.V.) to keep only native German names.

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Input

Field	Type	Default	Description
index	enum	DAX40	DAX40 (40 blue-chips), MDAX (50 mid-caps), Xetra-all (native German Xetra listings).
limit	int	40	Maximum stocks returned, sorted by market cap desc.
min_market_cap_eur_billion	int	0	Filter to caps ≥ this threshold (EUR billions).
sector	string	""	Case-insensitive substring filter on sector / industry / company name.
enrich_fundamentals	bool	true	Pull each stock's Xetra detail page for P/E, EPS, dividend, 52-week range, beta, sector.
proxyConfiguration	object	Apify default	Proxy config (datacenter by default; switch to RESIDENTIAL if rate-limited).

Example inputs

DAX 40 quick scan — top 10 by market cap:

{"index": "DAX40", "limit": 10}

All 40 DAX constituents with full fundamentals:

{"index": "DAX40", "limit": 40, "enrich_fundamentals": true}

German banks only:

{"index": "Xetra-all", "limit": 100, "sector": "bank", "enrich_fundamentals": true}

German mega-caps (≥ €50B market cap, automakers focus):

{"index": "Xetra-all", "limit": 50, "min_market_cap_eur_billion": 50, "sector": "auto", "enrich_fundamentals": true}

MDAX full mid-cap pull:

{"index": "MDAX", "limit": 50, "enrich_fundamentals": true}

Pharma/healthcare basket (Bayer, Merck, Fresenius, Sartorius, Siemens Healthineers, Qiagen, MorphoSys, Evotec):

{"index": "Xetra-all", "limit": 30, "sector": "pharma", "enrich_fundamentals": true}

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Use cases

Hedge fund equity desks — daily snapshot of every DAX 40 + MDAX name with PE/PB/dividend yield piped straight into your factor models. No more paying €25K/seat/year for Bloomberg just to pull the DAX universe.

European long-short funds — pair-trade SAP vs Salesforce, Volkswagen vs Stellantis, Allianz vs AXA, Siemens vs ABB. This actor gives you the German half of every pair in clean JSON.

Quant pipelines — build mean-reversion, momentum or sector-rotation strategies on the DAX universe. RSI, beta, 52-week range and pct-change come pre-extracted; merge with your fundamental data lake in seconds.

Retail brokers and roboadvisors — populate user dashboards with live Xetra quotes plus fundamentals for every German listed name without paying for Deutsche Börse market data licensing.

Family offices — keep tabs on German industrials (Siemens, ThyssenKrupp, Heidelberg Materials), German pharma (Bayer, Merck KGaA, Fresenius), German autos (Mercedes-Benz, BMW, VW, Porsche), German tech (SAP, Infineon, Nemetschek) — all in one dataset.

Equity research analysts — pre-screen the DAX 350 by P/E, dividend yield, market cap before deep-diving into 10-Ks. Sector filter lets you carve out chemicals (BASF, Henkel, Brenntag, Symrise, K+S, Wacker, LANXESS, Evonik, Covestro) or insurance (Allianz, Munich Re, Hannover Re, Talanx) in one call.

ETF builders / replication desks — generate the constituent list and weights basis for your DAX/MDAX-tracking products. The is_dax40 and is_mdax flags identify index membership without external lookup.

Macro and FX research — track Bund-sensitive financials (Deutsche Bank, Commerzbank), Energiewende names (RWE, E.ON, Siemens Energy, Encavis, SMA Solar), and export bellwethers (autos + industrials) in one run for euro-area macro pieces.

Sustainability / ESG research — German listed companies have some of the most aggressive sustainability mandates globally. Pull the universe and overlay your ESG scores in one batch.

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Pricing — Pay Per Result

• Actor start: $0.01 per run
• Per stock returned: $0.25

A full DAX 40 pull = $0.01 + (40 × $0.25) = $10.01 per run. A full MDAX + DAX combined ≈ $22.51. A limit=10 smoke test ≈ $2.51. Free tier ($5/month Apify credit) covers ~2 smoke tests or one DAX 40 snapshot per month. Pay-as-you-go means no commitment; cancel anytime.

Compare to Bloomberg Terminal (€25,000/year) or Refinitiv Eikon (€20,000/year) just to access the same DAX universe — this actor lets you run on-demand for the price of a coffee.

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How it works

For DAX40 and MDAX modes the actor iterates a curated, hand-verified ticker map (SAP → SAP SE, SIE → Siemens AG, etc.) and fetches each constituent's Xetra detail page on stockanalysis.com (https://stockanalysis.com/quote/etr/{TICKER}/). That page is server-rendered, so we parse it directly with BeautifulSoup — no Playwright, no JS execution, low latency. EUR market cap, PE, dividend yield, EPS, 52-week range, RSI, beta, sector and industry classification all come out of the same page.

For Xetra-all mode we walk the merged Frankfurt listing (stockanalysis.com/list/frankfurt-stock-exchange/) page-by-page (500 rows per page) and filter to native German listings using a legal-form regex (\b(AG|SE|KGaA|GmbH|Aktiengesellschaft|N\.V\.)\b) on the company name. This excludes the thousands of ADR / IOB cross-listings that contaminate the raw Frankfurt list. With enrich_fundamentals=true we then fetch the detail page for each surviving name to fill in PE/dividend/sector etc.

All requests go through Apify proxy by default (datacenter group, EU exit nodes). Switch to RESIDENTIAL if you hit a rate limit. Concurrency is throttled to 6 with 120ms jitter.

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Related actors in the NexGenData equity-screener fleet

The German market doesn't trade in a vacuum. We maintain a coordinated set of single-country / single-region equity-screener actors so you can build cross-listed pairs, ADR arb strategies, or global thematic baskets with one consistent JSON schema:

• 🇬🇧 LSE UK Stock Screener — FTSE 100 / FTSE 250 / LSE main market. GBP prices, dividend yield, sector. Same schema, native UK names only.
• 🇨🇳 Eastmoney China Stock Screener — Shanghai + Shenzhen A-shares with CNY pricing, P/E, P/B, dividend yield. Pair with German autos for China-exposure trades.
• 🇰🇷 KOSPI Korea Stock Screener — Korea Exchange (KOSPI + KOSDAQ) with KRW pricing — Samsung, SK Hynix, LG, Hyundai.
• 🇹🇼 TWSE Taiwan Stock Screener — Taiwan Stock Exchange — TSMC, Foxconn, MediaTek, the semiconductor supply chain.

All of these share the same input pattern (index, limit, min_market_cap_*, sector, enrich_fundamentals) so you can wire them together in a single orchestration step.

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Output schema reference

Every record contains (when available):

Field	Type	Notes
symbol	string	Xetra ticker (e.g. SAP, BAYN, MUV2).
name	string	Full legal name.
ticker_yahoo	string	Yahoo Finance ticker (suffix .DE).
exchange	string	Always XETR.
currency	string	Always EUR.
price_eur	float	Latest available price.
previous_close_eur	float	Prior session close.
open_eur	float	Today's open.
pct_change	float	Day-on-day % move.
market_cap_eur	float	EUR market cap (absolute).
market_cap_billion_eur	float	EUR market cap in billions.
pe_ratio	float	Trailing P/E.
forward_pe	float	Forward P/E.
pb_ratio	float	Price-to-book.
eps_eur	float	EPS.
dividend_eur	float	Annual dividend per share.
dividend_yield_pct	float	Dividend yield %.
shares_outstanding	float	Shares outstanding (absolute).
net_income_eur	float	TTM net income.
volume	float	Today's share volume.
week52_low_eur / week52_high_eur	float	52-week range.
beta	float	5y beta vs DAX.
rsi	float	14-day RSI.
sector	string	GICS-style sector.
industry	string	GICS-style industry.
is_dax40 / is_mdax	bool	Index membership flags.

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Disclaimer

Data is sourced from public, web-rendered pages on stockanalysis.com (Frankfurt and Xetra detail). It is delayed quote data, not exchange-real-time, and is intended for research, screening and back-testing — NOT for live trade execution. For real-time Deutsche Börse data with millisecond latency, license the official Xetra market-data feed.

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Get started

Run the actor with {"index": "DAX40", "limit": 10} for a 10-stock smoke test. Pull the full DAX 40 with {"index": "DAX40", "limit": 40}. Combine DAX 40 + MDAX with two runs and a JSON merge.

Want the full NexGenData fleet? We run 100+ private and public actors for institutional equity research, alternative data, scraping infrastructure, and Bloomberg-alternative pricing. Browse the catalog and try a few — start with the free Apify tier ($5/month credit).

👉 Browse all NexGenData actors on Apify

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Explore the NexGenData Equity Data Suite

This actor is part of NexGenData's global equity data fleet. Whether you cover a single region or a multi-asset macro book, we have a screener for every major market:

Regional sisters

• 🔗 LSE UK Stock Screener — London Stock Exchange (FTSE 100 / 250) fundamentals, market cap (GBP), P/E, dividend yield, sector — UK equity data.
• 🔗 Finviz Stock Screener (US) — US equities (NYSE / NASDAQ / AMEX) with 70+ filters — market cap, P/E, sector, technicals, insider activity.
• 🔗 TSE Japan Stock Screener — Tokyo Stock Exchange (Nikkei 225 / TOPIX) fundamentals, market cap (JPY), P/E, P/B, dividend yield, sector.

Cross-region peers

• 🔗 ASX Australia Stock Screener — ASX 200 / All Ordinaries fundamentals, market cap (AUD), P/E, dividend yield, sector — Australian equity data.
• 🔗 TSX Canada Stock Screener — Toronto Stock Exchange (TSX 60 / Composite) fundamentals, market cap (CAD), P/E, dividend yield, sector.

Multi-asset / specialty

• 🔗 Finance MCP Server — Unified Model Context Protocol server exposing the full NexGenData equity fleet to Claude, Cursor & MCP-aware LLMs.

Browse the full NexGenData catalog

→ See all 220+ NexGenData actors at apify.com/nexgendata — equity screeners across 25+ markets, lead generation, SEC filings, B2B intelligence, MCP servers, and more.

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Why NexGenData vs. paid alternatives

Tool	Annual cost	API access	Coverage
Bloomberg Terminal	~$24,000/seat	Limited	Global
FactSet	~$15,000/seat	Paid add-on	Global
Refinitiv Eikon	~$22,000/seat	Paid add-on	Global
S&P Capital IQ	~$20,000/seat	Paid add-on	Global
NexGenData Germany Screener	Pay-per-result	Native	Germany

Run this actor once per day for a typical institutional-scale workflow (~200 records/day) and your annual cost is approximately $1,800–2,000 — a 90-95% discount vs. the major paid alternatives, with no seat licensing, no minimum commitment, and full programmatic access.