Dana (DAN) EBITDA (2010 - 2026)
Dana's EBITDA was $160 million in Q2 2026, up 48.1% from $108 million a year earlier and up 50.9% from the prior quarter.
Dana (DAN) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dana's EBITDA was $561 million through Jun 30, 2026, up 125.3% year-over-year; for FY2025, it was $496 million, up 185.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $174 million in FY2024 (-15.9%), $207 million in FY2023 (-56.3%), $474 million in FY2022 (-39.5%) and $784 million in FY2021 (+60.3%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q1 2024.
- Compared with a year earlier, EBITDA was higher in four of the last six quarters, with growth averaging 11.6%.
- The best year-over-year quarter for EBITDA over five years was Q3 2025 (growth of 82.1%); the worst was Q2 2024 (a decline of 63.8%).
- Per Business Quant data, DAN's EBITDA in the three quarters before Q2 2026 was $106 million (Q1 2026), $153 million (Q4 2025) and $142 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 338.35 Bn | 310.05 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 196.58 Bn | 191.16 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 170.02 Bn | 138.12 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 151.86 Bn | 149.05 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.43 Bn | 118.55 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 91.10 Bn | 83.83 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 89.06 Bn | 70.46 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Vertiv Holdings | 81.48 Bn | 72.10 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 79.16 Bn | 75.71 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Dana | 3.16 Bn | 1.46 Bn | 210.00 Mn | 160.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.00 Mn |
| Mar 31, 2026 | 106.00 Mn |
| Dec 31, 2025 | 154.00 Mn |
| Sep 30, 2025 | 143.00 Mn |
| Jun 30, 2025 | 110.00 Mn |
| Mar 31, 2025 | 94.00 Mn |
| Dec 31, 2024 | -28.00 Mn |
| Sep 30, 2024 | 79.00 Mn |
| Jun 30, 2024 | 83.00 Mn |
| Mar 31, 2024 | 177.00 Mn |
| Dec 31, 2023 | -401.00 Mn |
| Sep 30, 2023 | 199.00 Mn |
| Jun 30, 2023 | 226.00 Mn |
| Mar 31, 2023 | 188.00 Mn |
| Dec 31, 2022 | 164.00 Mn |
| Sep 30, 2022 | -6.00 Mn |
| Jun 30, 2022 | 157.00 Mn |
| Mar 31, 2022 | 164.00 Mn |
| Dec 31, 2021 | 180.00 Mn |
| Sep 30, 2021 | 194.00 Mn |
Dana EBITDA 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=ebitda&ticker=DAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();