Dana (DAN) Operating Expenses (2010 - 2026)
Dana's Operating Expenses was $197 million in Q2 2026, down 1.0% from $199 million a year earlier but up 1.5% from the prior quarter.
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Analysis
Dana (DAN) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dana's Operating Expenses was $763 million through Jun 30, 2026, down 6.7% year-over-year; for FY2025, it was $763 million, down 8.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $838 million in FY2024 (+10.0%), $762 million in FY2023 (-11.8%), $864 million in FY2022 (+3.8%) and $832 million in FY2021 (+3.7%).
- Quarterly Operating Expenses has moved between $32 million (Q4 2023) and $245 million (Q1 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with growth averaging 72.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2024 (growth of 590.6%); the worst was Q4 2023 (a decline of 74.6%).
- Per Business Quant data, DAN's Operating Expenses in the three quarters before Q2 2026 was $194 million (Q1 2026), $192 million (Q4 2025) and $180 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 336.39 Bn | 308.09 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.92 Bn | 190.50 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 169.28 Bn | 137.37 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 151.98 Bn | 149.16 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.25 Bn | 118.37 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 90.71 Bn | 83.44 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 88.70 Bn | 70.10 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Vertiv Holdings | 81.80 Bn | 72.42 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 78.98 Bn | 75.54 Bn | 1.90 Bn | - |
| 10 | Dana | 3.14 Bn | 1.45 Bn | 210.00 Mn | 197.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.00 Mn |
| Mar 31, 2026 | 194.00 Mn |
| Dec 31, 2025 | 192.00 Mn |
| Sep 30, 2025 | 180.00 Mn |
| Jun 30, 2025 | 199.00 Mn |
| Mar 31, 2025 | 189.00 Mn |
| Dec 31, 2024 | 221.00 Mn |
| Sep 30, 2024 | 209.00 Mn |
| Jun 30, 2024 | 225.00 Mn |
| Mar 31, 2024 | 245.00 Mn |
| Dec 31, 2023 | 32.00 Mn |
| Sep 30, 2023 | 143.00 Mn |
| Jun 30, 2023 | 241.00 Mn |
| Mar 31, 2023 | 233.00 Mn |
| Dec 31, 2022 | 126.00 Mn |
| Sep 30, 2022 | 113.00 Mn |
| Jun 30, 2022 | 222.00 Mn |
| Mar 31, 2022 | 220.00 Mn |
| Dec 31, 2021 | 117.00 Mn |
| Sep 30, 2021 | 104.00 Mn |
API Access
Dana Operating Expenses 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=operating-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();