Albany International (AIN) Depreciation and Depletion (2010 - 2026)
Albany International (AIN) recorded Depreciation and Depletion of $16.38 million in Q2 2026, down 20.1% from $20.5 million a year earlier and down 0.6% from the prior quarter.
Albany International (AIN) Depreciation and Depletion (2010 - 2026) Analysis & Trends
On a TTM basis, Albany International's Depreciation and Depletion came in at $75.48 million as of Jun 30, 2026, down 7.2% 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 Q2 2026 figure is the lowest quarterly Depreciation and Depletion since Q1 2023.
- On a year-over-year basis, Depreciation and Depletion rose in four of the last eight quarters, with an average decline of 2.2%.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 29.6% in Q1 2024, against a decline of 20.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.48 million (Q1 2026), $21.14 million (Q4 2025) and $21.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | - |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Albany International | 1.68 Bn | 1.26 Bn | 107.90 Mn | 16.38 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 15.93 Mn |
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_KEY
import 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();