Dana (DAN) Capital Expenditures (2010 - 2026)
Dana (DAN) posted Capital Expenditures of $70 million for Q3 2026, up 42.9% from $49 million a year earlier but down 50.7% from the prior quarter.
Dana (DAN) Capital Expenditures (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Capital Expenditures at Dana was $335 million, up 25.5% year-over-year; for FY2025, it came in at $214 million, down 31.4% from FY2024.
- Annual Capital Expenditures has declined for three consecutive years, with a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- In prior years, Dana's Capital Expenditures was $312 million in FY2024 (-26.9%), $427 million in FY2023 (-3.0%), $440 million in FY2022 (+19.2%) and $369 million in FY2021 (+13.2%).
- Quarterly Capital Expenditures has run from a low of $37 million in Q3 2024 to a high of $142 million in Q2 2026 over five years.
- On a year-over-year basis, Capital Expenditures increased in four of the last eight quarters, with growth averaging 38.6%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q2 2026, with growth of 283.8%; the weakest was Q3 2024, with a decline of 68.4%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $142 million (Q2 2026), $62 million (Q1 2026) and $61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 1.06 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 457.20 Mn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 275.00 Mn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 109.00 Mn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 256.00 Mn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 102.00 Mn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 102.00 Mn |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 139.10 Mn |
| 10 | Dana | 2.47 Bn | 873.87 Mn | 201.00 Mn | 70.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 70.00 Mn |
| Jun 30, 2026 | 142.00 Mn |
| Mar 31, 2026 | 62.00 Mn |
| Dec 31, 2025 | 61.00 Mn |
| Sep 30, 2025 | 49.00 Mn |
| Jun 30, 2025 | 37.00 Mn |
| Mar 31, 2025 | 67.00 Mn |
| Dec 31, 2024 | 114.00 Mn |
| Sep 30, 2024 | 37.00 Mn |
| Jun 30, 2024 | 91.00 Mn |
| Mar 31, 2024 | 70.00 Mn |
| Dec 31, 2023 | 68.00 Mn |
| Sep 30, 2023 | 117.00 Mn |
| Jun 30, 2023 | 122.00 Mn |
| Mar 31, 2023 | 120.00 Mn |
| Dec 31, 2022 | 140.00 Mn |
| Sep 30, 2022 | 94.00 Mn |
| Jun 30, 2022 | 90.00 Mn |
| Mar 31, 2022 | 116.00 Mn |
| Dec 31, 2021 | 141.00 Mn |
Dana Capital Expenditures 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=capital-expenditures&ticker=DAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();