Dana (DAN) Depreciation and Depletion (2010 - 2026)
Dana (DAN) recorded Depreciation and Depletion of $82 million in Q2 2026, down 7.9% from $89 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Dana (DAN) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Dana's Depreciation and Depletion came in at $340 million as of Jun 30, 2026, up 0.6% year-over-year; for FY2025, it came in at $345 million, up 2.4% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $337 million in FY2024 (+12.7%), $299 million in FY2023 (-18.1%), $365 million in FY2022 (unchanged) and $365 million in FY2021 (+5.8%).
- Quarterly Depreciation and Depletion has ranged from $12 million in Q4 2023 to $101 million in Q1 2024 over the past five years.
- On a year-over-year basis, Depreciation and Depletion rose in four of the last eight quarters, with growth averaging 70.5%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 600.0% in Q4 2024, against a decline of 87.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $84 million (Q1 2026), $88 million (Q4 2025) and $86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 323.57 Bn | 295.27 Bn | 7.76 Bn | - |
| 2 | Amphenol | 179.36 Bn | 173.94 Bn | 3.55 Bn | - |
| 3 | Deere | 170.85 Bn | 138.95 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.13 Bn | 140.32 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 113.06 Bn | 111.19 Bn | 2.25 Bn | 89.00 Mn |
| 6 | 3M | 90.28 Bn | 71.72 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 88.25 Bn | 80.98 Bn | 2.66 Bn | 96.00 Mn |
| 8 | Illinois Tool Works | 79.61 Bn | 76.17 Bn | 1.90 Bn | 82.00 Mn |
| 9 | Vertiv Holdings | 75.14 Bn | 65.76 Bn | 1.23 Bn | 39.40 Mn |
| 10 | Dana | 3.09 Bn | 1.40 Bn | 210.00 Mn | 82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 82.00 Mn |
| Mar 31, 2026 | 84.00 Mn |
| Dec 31, 2025 | 88.00 Mn |
| Sep 30, 2025 | 86.00 Mn |
| Jun 30, 2025 | 89.00 Mn |
| Mar 31, 2025 | 82.00 Mn |
| Dec 31, 2024 | 84.00 Mn |
| Sep 30, 2024 | 83.00 Mn |
| Jun 30, 2024 | 91.00 Mn |
| Mar 31, 2024 | 101.00 Mn |
| Dec 31, 2023 | 12.00 Mn |
| Sep 30, 2023 | 101.00 Mn |
| Jun 30, 2023 | 94.00 Mn |
| Mar 31, 2023 | 92.00 Mn |
| Dec 31, 2022 | 95.00 Mn |
| Sep 30, 2022 | 88.00 Mn |
| Jun 30, 2022 | 91.00 Mn |
| Mar 31, 2022 | 91.00 Mn |
| Dec 31, 2021 | 93.00 Mn |
| Sep 30, 2021 | 92.00 Mn |
API Access
Dana Depreciation and Depletion 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=depreciation-and-depletion&ticker=DAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();