Albany International (AIN) Accounts Payables (2010 - 2026)
Albany International (AIN) recorded Accounts Payables of $75.08 million in Q2 2026, down 22.4% from $96.79 million a year earlier and down 0.1% from the prior quarter.
Albany International (AIN) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Albany International reported Accounts Payables of $64.5 million, down 2.4% from FY2024.
- Annual Accounts Payables has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $66.1 million in FY2024 (-24.1%), $87.1 million in FY2023 (+25.0%), $69.71 million in FY2022 (+1.1%) and $68.95 million in FY2021 (+40.2%).
- Quarterly Accounts Payables has ranged from $54.4 million in Q3 2021 to $96.79 million in Q2 2025 over the past five years.
- On a year-over-year basis, Accounts Payables has declined for three consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 40.2% in Q4 2021, against a decline of 24.1% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $75.17 million (Q1 2026), $64.5 million (Q4 2025) and $85.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 10.82 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 17.00 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 14.35 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 4.92 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 1.15 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 2.87 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 2.90 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 6.39 Bn |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn | 75.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.08 Mn |
| Mar 31, 2026 | 75.17 Mn |
| Dec 31, 2025 | 64.50 Mn |
| Sep 30, 2025 | 85.99 Mn |
| Jun 30, 2025 | 96.79 Mn |
| Mar 31, 2025 | 83.00 Mn |
| Dec 31, 2024 | 66.10 Mn |
| Sep 30, 2024 | 77.87 Mn |
| Jun 30, 2024 | 84.63 Mn |
| Mar 31, 2024 | 80.78 Mn |
| Dec 31, 2023 | 87.10 Mn |
| Sep 30, 2023 | 70.11 Mn |
| Jun 30, 2023 | 65.81 Mn |
| Mar 31, 2023 | 76.24 Mn |
| Dec 31, 2022 | 69.71 Mn |
| Sep 30, 2022 | 65.38 Mn |
| Jun 30, 2022 | 70.43 Mn |
| Mar 31, 2022 | 64.50 Mn |
| Dec 31, 2021 | 68.95 Mn |
| Sep 30, 2021 | 54.40 Mn |
Albany International Accounts Payables 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=accounts-payables&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();