Dana (DAN) Other Operating Expenses (2011 - 2026)
Dana (DAN) recorded Other Operating Expenses of -$26 million in FY2024.
Powered by 
Analysis
Dana (DAN) Other Operating Expenses (2011 - 2026) Analysis & Trends
Starting with FY2009, Dana's Other Operating Expenses history includes 8 years.
- The FY2024 figure is the highest annual Other Operating Expenses since FY2019.
- Per Business Quant data, DAN's Other Operating Expenses was -$191 million in FY2022 and -$51 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 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 |
| 10 | Dana | 2.47 Bn | 873.87 Mn | 201.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -6.00 Mn |
| Jun 30, 2026 | -20.00 Mn |
| Mar 31, 2026 | -40.00 Mn |
| Dec 31, 2025 | -15.00 Mn |
| Sep 30, 2025 | -20.00 Mn |
| Jun 30, 2025 | -10.00 Mn |
| Mar 31, 2025 | -4.00 Mn |
| Dec 31, 2024 | -7.00 Mn |
| Sep 30, 2024 | -6.00 Mn |
| Jun 30, 2024 | -8.00 Mn |
| Mar 31, 2024 | -11.00 Mn |
| Dec 31, 2023 | -1.00 Mn |
| Sep 30, 2023 | -5.00 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | -7.00 Mn |
| Sep 30, 2022 | -4.00 Mn |
| Jun 30, 2022 | -13.00 Mn |
| Mar 31, 2022 | -3.00 Mn |
| Dec 31, 2021 | 65.00 Mn |
API Access
Dana Other 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=other-operating-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();