Dauch (DCH) Shares Outstanding (Diluted) (2009 - 2026)
Dauch (DCH) recorded Weighted Average Shares Outstanding (Diluted) of 237.5 million in Q2 2026, up 99.9% from 118.8 million a year earlier and up 22.9% from the prior quarter.
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Analysis
Dauch (DCH) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Dauch reported Weighted Average Shares Outstanding (Diluted) of 118.4 million, up 0.6% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for 11 straight years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 117.7 million in FY2024 (+0.9%), 116.6 million in FY2023 (+1.0%), 115.5 million in FY2022 (+1.2%) and 114.1 million in FY2021 (+0.9%).
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 27 consecutive quarters, with growth averaging 21.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.4% (Q2 2024) to 99.9% (Q2 2026).
- Per Business Quant, the preceding three quarters came in at 193.3 million (Q1 2026), 118.4 million (Q4 2025) and 118.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 3.54 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 178.32 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 887.00 Mn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 4.08 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 1.30 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 1.45 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 282.50 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 1.07 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Dauch | 1.06 Bn | -2.33 Bn | 282.20 Mn | 237.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 237.60 Mn |
| Jun 30, 2026 | 237.50 Mn |
| Mar 31, 2026 | 193.30 Mn |
| Dec 31, 2025 | 118.40 Mn |
| Sep 30, 2025 | 118.90 Mn |
| Jun 30, 2025 | 118.80 Mn |
| Mar 31, 2025 | 118.00 Mn |
| Dec 31, 2024 | 117.70 Mn |
| Sep 30, 2024 | 117.80 Mn |
| Jun 30, 2024 | 117.70 Mn |
| Mar 31, 2024 | 117.30 Mn |
| Dec 31, 2023 | 116.60 Mn |
| Sep 30, 2023 | 117.10 Mn |
| Jun 30, 2023 | 117.20 Mn |
| Mar 31, 2023 | 115.20 Mn |
| Dec 31, 2022 | 115.50 Mn |
| Sep 30, 2022 | 116.10 Mn |
| Jun 30, 2022 | 115.30 Mn |
| Mar 31, 2022 | 114.70 Mn |
| Dec 31, 2021 | 114.10 Mn |
API Access
Dauch Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=DCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DCH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();