Dauch (DCH) Shares Outstanding (2009 - 2026)
Dauch (DCH) reported Weighted Average Shares Outstanding of 245 million for Q2 2026, up 97.7% from 123.9 million a year earlier and up 22.4% from the prior quarter.
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Analysis
Dauch (DCH) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Dauch posted Weighted Average Shares Outstanding of 123.6 million, up 1.6% from FY2024.
- Weighted Average Shares Outstanding has increased for 16 consecutive years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 121.7 million in FY2024 (+1.2%), 120.3 million in FY2023 (+0.8%), 119.4 million in FY2022 (+0.8%) and 118.5 million in FY2021 (+0.5%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2009.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 55 quarters, with growth averaging 21.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.1% (Q3 2021) and 97.7% (Q2 2026) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 200.1 million (Q1 2026), 123.6 million (Q4 2025) and 124 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 3.24 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 872.00 Mn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 178.13 Mn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 3.99 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 1.30 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 1.45 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 281.70 Mn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 2.89 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 1.01 Bn |
| 10 | Dauch | 1.13 Bn | -2.18 Bn | 338.20 Mn | 245.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 245.00 Mn |
| Mar 31, 2026 | 200.10 Mn |
| Dec 31, 2025 | 123.60 Mn |
| Sep 30, 2025 | 124.00 Mn |
| Jun 30, 2025 | 123.90 Mn |
| Mar 31, 2025 | 122.50 Mn |
| Dec 31, 2024 | 121.70 Mn |
| Sep 30, 2024 | 122.00 Mn |
| Jun 30, 2024 | 121.90 Mn |
| Mar 31, 2024 | 120.90 Mn |
| Dec 31, 2023 | 120.30 Mn |
| Sep 30, 2023 | 120.50 Mn |
| Jun 30, 2023 | 120.40 Mn |
| Mar 31, 2023 | 119.80 Mn |
| Dec 31, 2022 | 119.40 Mn |
| Sep 30, 2022 | 119.60 Mn |
| Jun 30, 2022 | 119.50 Mn |
| Mar 31, 2022 | 118.80 Mn |
| Dec 31, 2021 | 118.50 Mn |
| Sep 30, 2021 | 118.50 Mn |
API Access
Dauch Shares Outstanding 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&ticker=DCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=DCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();