Albany International (AIN) Accumulated Expenses (2010 - 2026)
Albany International (AIN) reported Accumulated Expenses of $133.83 million for Q2 2026, up 10.3% from $121.33 million a year earlier but down 6.8% from the prior quarter.
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Analysis
Albany International (AIN) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Albany International posted Accumulated Expenses of $139.39 million, down 1.8% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $141.9 million in FY2024 (-0.8%), $142.99 million in FY2023 (+13.1%), $126.39 million in FY2022 (+1.7%) and $124.33 million in FY2021 (-0.9%).
- Five-year quarterly Accumulated Expenses spans a low of $103.99 million in Q1 2023 and a high of $222.43 million in Q3 2025.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 10.6%.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2025 (growth of 60.4%); the low point was Q2 2025 (a decline of 6.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $143.56 million (Q1 2026), $139.39 million (Q4 2025) and $222.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.83 Mn |
| Mar 31, 2026 | 143.56 Mn |
| Dec 31, 2025 | 139.39 Mn |
| Sep 30, 2025 | 222.43 Mn |
| Jun 30, 2025 | 121.33 Mn |
| Mar 31, 2025 | 122.90 Mn |
| Dec 31, 2024 | 141.90 Mn |
| Sep 30, 2024 | 138.70 Mn |
| Jun 30, 2024 | 129.51 Mn |
| Mar 31, 2024 | 118.18 Mn |
| Dec 31, 2023 | 142.99 Mn |
| Sep 30, 2023 | 135.34 Mn |
| Jun 30, 2023 | 104.40 Mn |
| Mar 31, 2023 | 103.99 Mn |
| Dec 31, 2022 | 126.39 Mn |
| Sep 30, 2022 | 106.83 Mn |
| Jun 30, 2022 | 110.07 Mn |
| Mar 31, 2022 | 108.86 Mn |
| Dec 31, 2021 | 124.33 Mn |
| Sep 30, 2021 | 112.48 Mn |
API Access
Albany International Accumulated Expenses 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=accumulated-expenses&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();