Albany International (AIN) Inventory (2010 - 2026)
Albany International (AIN) recorded Inventory of $165.54 million in Q3 2026, up 3.7% from $159.66 million a year earlier and up 13.3% from the prior quarter.
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Analysis
Albany International (AIN) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Albany International reported Inventory of $121.59 million, down 16.6% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $145.85 million in FY2024 (-14.0%), $169.57 million in FY2023 (+21.9%), $139.05 million in FY2022 (+18.0%) and $117.88 million in FY2021 (+6.7%).
- The Q3 2026 figure is the highest quarterly Inventory since Q1 2024.
- On a year-over-year basis, Inventory rose in two of the last eight quarters, with an average decline of 6.7%.
- Peak year-over-year performance for Inventory in the last five years was growth of 35.2% in Q3 2023, against a decline of 16.6% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $146.16 million (Q2 2026), $139.83 million (Q1 2026) and $121.59 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 12.74 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 14.95 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 90.95 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 3.99 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 9.12 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 1.51 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 2.11 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 1.36 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 2.06 Bn |
| 10 | Albany International | 1.90 Bn | 1.51 Bn | 140.38 Mn | 165.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 165.54 Mn |
| Jun 30, 2026 | 146.16 Mn |
| Mar 31, 2026 | 139.83 Mn |
| Dec 31, 2025 | 121.59 Mn |
| Sep 30, 2025 | 159.66 Mn |
| Jun 30, 2025 | 161.86 Mn |
| Mar 31, 2025 | 161.08 Mn |
| Dec 31, 2024 | 145.85 Mn |
| Sep 30, 2024 | 160.62 Mn |
| Jun 30, 2024 | 161.63 Mn |
| Mar 31, 2024 | 166.03 Mn |
| Dec 31, 2023 | 169.57 Mn |
| Sep 30, 2023 | 180.99 Mn |
| Jun 30, 2023 | 151.36 Mn |
| Mar 31, 2023 | 153.78 Mn |
| Dec 31, 2022 | 139.05 Mn |
| Sep 30, 2022 | 133.84 Mn |
| Jun 30, 2022 | 133.67 Mn |
| Mar 31, 2022 | 123.84 Mn |
| Dec 31, 2021 | 117.88 Mn |
API Access
Albany International Inventory 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=inventory&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();