Albany International (AIN) Inventory (2010 - 2026)
Albany International (AIN) recorded Inventory of $146.16 million in Q2 2026, down 9.7% from $161.86 million a year earlier but up 4.5% 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%).
- Quarterly Inventory has ranged from $117.88 million in Q4 2021 to $180.99 million in Q3 2023 over the past five years.
- On a year-over-year basis, Inventory has declined for four consecutive quarters, with an average decline of 8.5% over the last eight quarters.
- 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 $139.83 million (Q1 2026), $121.59 million (Q4 2025) and $159.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 146.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 118.13 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();