Dana (DAN) Shares Outstanding (Diluted) (2010 - 2026)
Dana (DAN) reported Shares Outstanding (Diluted) of 109.5 million for Q2 2026, down 23.9% from 143.8 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Dana (DAN) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Dana posted Shares Outstanding (Diluted) of 133.7 million, down 7.9% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 145.2 million in FY2024 (+0.4%), 144.6 million in FY2023 (+0.7%), 143.6 million in FY2022 (-1.8%) and 146.2 million in FY2021 (+1.2%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2010.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last five quarters, with an average decline of 8.2% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2025 (growth of 1.5%); the low point was Q1 2026 (a decline of 25.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 109.9 million (Q1 2026), 133.7 million (Q4 2025) and 130.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 324.23 Bn | 295.92 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 179.18 Bn | 173.76 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 172.45 Bn | 140.54 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 143.46 Bn | 140.65 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 113.53 Bn | 111.65 Bn | 2.25 Bn | 128.10 Mn |
| 6 | 3M | 90.67 Bn | 72.11 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 88.52 Bn | 81.26 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 79.57 Bn | 76.13 Bn | 1.90 Bn | 287.00 Mn |
| 9 | Vertiv Holdings | 75.47 Bn | 66.09 Bn | 1.23 Bn | 392.75 Mn |
| 10 | Dana | 3.09 Bn | 1.40 Bn | 210.00 Mn | 109.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.50 Mn |
| Mar 31, 2026 | 109.90 Mn |
| Dec 31, 2025 | 133.70 Mn |
| Sep 30, 2025 | 130.80 Mn |
| Jun 30, 2025 | 143.80 Mn |
| Mar 31, 2025 | 147.00 Mn |
| Dec 31, 2024 | 145.20 Mn |
| Sep 30, 2024 | 145.10 Mn |
| Jun 30, 2024 | 145.10 Mn |
| Mar 31, 2024 | 144.80 Mn |
| Dec 31, 2023 | 144.60 Mn |
| Sep 30, 2023 | 144.70 Mn |
| Jun 30, 2023 | 144.40 Mn |
| Mar 31, 2023 | 144.30 Mn |
| Dec 31, 2022 | 143.60 Mn |
| Sep 30, 2022 | 143.40 Mn |
| Jun 30, 2022 | 143.70 Mn |
| Mar 31, 2022 | 145.30 Mn |
| Dec 31, 2021 | 146.20 Mn |
| Sep 30, 2021 | 146.20 Mn |
API Access
Dana 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=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DAN", "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=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();