Albany International (AIN) Depreciation and Depletion (2010 - 2026)
Albany International (AIN) recorded Depreciation and Depletion of $28.37 million in Q3 2026, up 32.0% from $21.49 million a year earlier and up 73.2% from the prior quarter.
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Analysis
Albany International (AIN) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Albany International's Depreciation and Depletion came in at $82.35 million as of Sep 30, 2026, up 0.1% year-over-year; for FY2025, it came in at $82.71 million, up 0.3% from FY2024.
- Annual Depreciation and Depletion has increased for three straight years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $82.5 million in FY2024 (+17.2%), $70.4 million in FY2023 (+12.6%), $62.5 million in FY2022 (-4.0%) and $65.13 million in FY2021 (+2.8%).
- The Q3 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q1 2010.
- On a year-over-year basis, Depreciation and Depletion rose in four of the last eight quarters, with an average decline of 0.1%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 32.0% in Q3 2026, against a decline of 20.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.38 million (Q2 2026), $16.48 million (Q1 2026) and $21.14 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | - |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | - |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | - |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 177.00 Mn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 53.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | -75.00 Mn |
| 10 | Albany International | 1.90 Bn | 1.51 Bn | 140.38 Mn | 28.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.37 Mn |
| Jun 30, 2026 | 16.38 Mn |
| Mar 31, 2026 | 16.48 Mn |
| Dec 31, 2025 | 21.14 Mn |
| Sep 30, 2025 | 21.49 Mn |
| Jun 30, 2025 | 20.50 Mn |
| Mar 31, 2025 | 19.59 Mn |
| Dec 31, 2024 | 20.69 Mn |
| Sep 30, 2024 | 20.57 Mn |
| Jun 30, 2024 | 20.69 Mn |
| Mar 31, 2024 | 20.56 Mn |
| Dec 31, 2023 | 20.24 Mn |
| Sep 30, 2023 | 17.87 Mn |
| Jun 30, 2023 | 16.44 Mn |
| Mar 31, 2023 | 15.86 Mn |
| Dec 31, 2022 | 15.64 Mn |
| Sep 30, 2022 | 15.59 Mn |
| Jun 30, 2022 | 15.68 Mn |
| Mar 31, 2022 | 15.60 Mn |
| Dec 31, 2021 | 16.65 Mn |
API Access
Albany International 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=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "AIN", "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=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();