Dana (DAN) Price to Earnings (2011 - 2026)
Dana's Price to Earnings came in at 2.63 for Q2 2026, down 17.8% from the prior quarter.
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Analysis
Dana (DAN) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Dana's Price to Earnings was 31.39.
- Going back by year, Price to Earnings was 55.51 in FY2023 and 16.71 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Price to Earnings in data going back to Q2 2011.
- Business Quant data shows DAN's Price to Earnings at 3.19 (Q1 2026), 31.39 (Q4 2025) and 44.42 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 316.25 Bn | 287.95 Bn | 7.76 Bn |
| 2 | Amphenol | 181.47 Bn | 176.05 Bn | 3.55 Bn |
| 3 | Deere | 172.60 Bn | 140.69 Bn | 4.66 Bn |
| 4 | Eaton | 143.01 Bn | 140.20 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 111.22 Bn | 109.35 Bn | 2.25 Bn |
| 6 | 3M | 90.15 Bn | 71.59 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.90 Bn | 82.64 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 78.95 Bn | 75.51 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 74.37 Bn | 65.00 Bn | 1.23 Bn |
| 10 | Dana | 2.85 Bn | 1.16 Bn | 210.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.63 |
| Mar 31, 2026 | 3.19 |
| Dec 31, 2025 | 31.39 |
| Sep 30, 2025 | 44.42 |
| Mar 31, 2024 | 141.61 |
| Dec 31, 2023 | 55.51 |
| Jun 30, 2022 | 20.58 |
| Mar 31, 2022 | 17.61 |
| Dec 31, 2021 | 16.71 |
| Sep 30, 2021 | 15.13 |
| Jun 30, 2021 | 16.51 |
| Sep 30, 2020 | 127.15 |
| Jun 30, 2020 | 22.02 |
| Mar 31, 2020 | 6.07 |
| Dec 31, 2019 | 11.59 |
| Sep 30, 2019 | 8.62 |
| Jun 30, 2019 | 12.75 |
| Mar 31, 2019 | 6.12 |
| Dec 31, 2018 | 4.62 |
| Sep 30, 2018 | 12.11 |
API Access
Dana Price to Earnings 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=price-to-earnings&ticker=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();