Dana (DAN) Shares Outstanding (Entity) (2010 - 2026)
Dana's Shares Outstanding (Entity) came in at 107.58 million for Q2 2026, down 18.0% from 131.13 million a year earlier and down 1.2% from the prior quarter.
Dana (DAN) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Dana's Shares Outstanding (Entity) was 112.28 million, down 22.6% from FY2024.
- Shares Outstanding (Entity) carries a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 144.99 million in FY2024 (+0.4%), 144.39 million in FY2023 (+0.7%), 143.37 million in FY2022 (-0.6%) and 144.24 million in FY2021 (-0.2%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) in data going back to Q1 2010.
- Year-over-year, Shares Outstanding (Entity) has declined for five consecutive quarters, with an average decline of 11.2% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q4 2023 (growth of 0.7%), and the weakest in Q1 2026 (a decline of 25.3%).
- Business Quant data shows DAN's Shares Outstanding (Entity) at 108.83 million (Q1 2026), 112.28 million (Q4 2025) and 121.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 557.80 Mn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 515.72 Mn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 284.80 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 384.94 Mn |
| 10 | Dana | 3.16 Bn | 1.47 Bn | 210.00 Mn | 107.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.58 Mn |
| Mar 31, 2026 | 108.83 Mn |
| Dec 31, 2025 | 112.28 Mn |
| Sep 30, 2025 | 121.92 Mn |
| Jun 30, 2025 | 131.13 Mn |
| Mar 31, 2025 | 145.73 Mn |
| Dec 31, 2024 | 144.99 Mn |
| Sep 30, 2024 | 144.98 Mn |
| Jun 30, 2024 | 144.98 Mn |
| Mar 31, 2024 | 144.95 Mn |
| Dec 31, 2023 | 144.39 Mn |
| Sep 30, 2023 | 144.34 Mn |
| Jun 30, 2023 | 144.33 Mn |
| Mar 31, 2023 | 144.33 Mn |
| Dec 31, 2022 | 143.37 Mn |
| Sep 30, 2022 | 143.35 Mn |
| Jun 30, 2022 | 143.35 Mn |
| Mar 31, 2022 | 143.33 Mn |
| Dec 31, 2021 | 144.24 Mn |
| Sep 30, 2021 | 144.23 Mn |
Dana Shares Outstanding (Entity) 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-entity&ticker=DAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();