Dana (DAN) Operating Expenses (2010 - 2026)
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Analysis
Dana (DAN) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 995.40 Mn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Dana | 2.47 Bn | 873.87 Mn | 201.00 Mn | 104.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 104.00 Mn |
| 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 |
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();