Albany International (AIN) Non-Current Assets (2010 - 2026)
Albany International (AIN) posted Non-Current Assets of $770.12 million for Q2 2026, down 18.8% from $948.35 million a year earlier and down 0.4% from the prior quarter.
Albany International (AIN) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Albany International's Non-Current Assets came in at $789.87 million, down 14.0% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In prior years, Albany International's Non-Current Assets was $918 million in FY2024 (-4.1%), $957.05 million in FY2023 (+19.1%), $803.82 million in FY2022 (+0.8%) and $797.26 million in FY2021 (-4.3%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q3 2022.
- On a year-over-year basis, Non-Current Assets has declined in each of the last three quarters, with an average decline of 6.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2023, with growth of 22.4%; the weakest was Q2 2026, with a decline of 18.8%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $773.53 million (Q1 2026), $789.87 million (Q4 2025) and $961.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 34.05 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 9.06 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.13 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 770.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 770.12 Mn |
| Mar 31, 2026 | 773.53 Mn |
| Dec 31, 2025 | 789.87 Mn |
| Sep 30, 2025 | 961.06 Mn |
| Jun 30, 2025 | 948.35 Mn |
| Mar 31, 2025 | 919.76 Mn |
| Dec 31, 2024 | 918.00 Mn |
| Sep 30, 2024 | 948.89 Mn |
| Jun 30, 2024 | 945.37 Mn |
| Mar 31, 2024 | 953.01 Mn |
| Dec 31, 2023 | 957.05 Mn |
| Sep 30, 2023 | 933.88 Mn |
| Jun 30, 2023 | 803.35 Mn |
| Mar 31, 2023 | 806.30 Mn |
| Dec 31, 2022 | 803.82 Mn |
| Sep 30, 2022 | 763.14 Mn |
| Jun 30, 2022 | 777.96 Mn |
| Mar 31, 2022 | 791.48 Mn |
| Dec 31, 2021 | 797.26 Mn |
| Sep 30, 2021 | 788.32 Mn |
Albany International Non-Current Assets 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=non-current-assets&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();