Albany International (AIN) Change in Accrued Expenses (2010 - 2026)
Albany International's Change in Accrued Expenses was $28.37 million in Q3 2026, compared with $427,000 a year earlier.
Powered by 
Analysis
Albany International (AIN) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Albany International's Change in Accrued Expenses was $35.97 million through Sep 30, 2026; for FY2025, it came in at $7.98 million.
- In earlier years, Change in Accrued Expenses was -$1.28 million in FY2024, -$10.44 million in FY2023, $3.23 million in FY2022 and -$774,000 in FY2021.
- Quarterly Change in Accrued Expenses has moved between -$23.14 million (Q1 2023) and $30.86 million (Q4 2025) over five years.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q2 2024 (growth of 370.5%); the worst was Q3 2025 (a decline of 93.9%).
- Per Business Quant data, AIN's Change in Accrued Expenses in the three quarters before Q3 2026 was -$21.16 million (Q2 2026), -$2.1 million (Q1 2026) and $30.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | - |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | -492.00 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | - |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 47.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 138.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | -32.00 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 497.00 Mn |
| 10 | Albany International | 1.90 Bn | 1.51 Bn | 140.38 Mn | 28.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.37 Mn |
| Jun 30, 2026 | -21.16 Mn |
| Mar 31, 2026 | -2.10 Mn |
| Dec 31, 2025 | 30.86 Mn |
| Sep 30, 2025 | 427,000.00 |
| Jun 30, 2025 | -2.15 Mn |
| Mar 31, 2025 | -21.16 Mn |
| Dec 31, 2024 | 7.05 Mn |
| Sep 30, 2024 | 7.05 Mn |
| Jun 30, 2024 | 7.37 Mn |
| Mar 31, 2024 | -22.74 Mn |
| Dec 31, 2023 | 6.01 Mn |
| Sep 30, 2023 | 5.12 Mn |
| Jun 30, 2023 | 1.57 Mn |
| Mar 31, 2023 | -23.14 Mn |
| Dec 31, 2022 | 15.85 Mn |
| Sep 30, 2022 | -879,000.00 |
| Jun 30, 2022 | 7.61 Mn |
| Mar 31, 2022 | -19.35 Mn |
| Dec 31, 2021 | 11.54 Mn |
API Access
Albany International Change in Accrued 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=change-in-accured-expenses&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();