Dana (DAN) Other Accumulated Expenses (2010 - 2025)
Dana's Other Accumulated Expenses came in at $128 million for Q4 2025, up 24.3% from $103 million a year earlier.
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Analysis
Dana (DAN) Other Accumulated Expenses (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Dana's Other Accumulated Expenses data covers 10 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $103 million in FY2024 (-7.2%), $111 million in FY2023 (+54.2%), $72 million in FY2022 (-50.0%) and $144 million in FY2021 (+3.6%).
- The Q4 2025 figure represents the highest quarterly Other Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn |
| 10 | Dana | 3.03 Bn | 1.41 Bn | 210.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 128.00 Mn |
| Dec 31, 2024 | 103.00 Mn |
| Dec 31, 2023 | 111.00 Mn |
| Dec 31, 2022 | 72.00 Mn |
| Dec 31, 2021 | 144.00 Mn |
| Dec 31, 2020 | 139.00 Mn |
| Dec 31, 2019 | 115.00 Mn |
| Dec 31, 2012 | 63.00 Mn |
| Dec 31, 2011 | 59.00 Mn |
| Dec 31, 2010 | 63.00 Mn |
API Access
Dana Other Accumulated 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-accumulated-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();