Albany International (AIN) Receivables (2010 - 2026)
Albany International's Receivables was $329.42 million in Q2 2026, down 26.5% from $448.09 million a year earlier but up 2.2% from the prior quarter.
Albany International (AIN) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Albany International came in at $322.19 million, down 22.0% from FY2024.
- Receivables shows a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier years, Receivables was $413.25 million in FY2024 (-12.1%), $470.06 million in FY2023 (+34.8%), $348.71 million in FY2022 (+14.5%) and $304.53 million in FY2021 (-7.1%).
- Quarterly Receivables has moved between $304.53 million (Q4 2021) and $484.72 million (Q1 2024) over five years.
- Compared with a year earlier, Receivables has declined for seven straight quarters, with an average decline of 13.6% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2023 (growth of 34.8%); the worst was Q2 2026 (a decline of 26.5%).
- Per Business Quant data, AIN's Receivables in the three quarters before Q2 2026 was $322.49 million (Q1 2026), $322.19 million (Q4 2025) and $398.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 329.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 329.42 Mn |
| Mar 31, 2026 | 322.49 Mn |
| Dec 31, 2025 | 322.19 Mn |
| Sep 30, 2025 | 398.76 Mn |
| Jun 30, 2025 | 448.09 Mn |
| Mar 31, 2025 | 428.53 Mn |
| Dec 31, 2024 | 413.25 Mn |
| Sep 30, 2024 | 467.76 Mn |
| Jun 30, 2024 | 469.25 Mn |
| Mar 31, 2024 | 484.72 Mn |
| Dec 31, 2023 | 470.06 Mn |
| Sep 30, 2023 | 436.32 Mn |
| Jun 30, 2023 | 387.51 Mn |
| Mar 31, 2023 | 369.85 Mn |
| Dec 31, 2022 | 348.71 Mn |
| Sep 30, 2022 | 347.58 Mn |
| Jun 30, 2022 | 335.40 Mn |
| Mar 31, 2022 | 319.82 Mn |
| Dec 31, 2021 | 304.53 Mn |
| Sep 30, 2021 | 315.05 Mn |
Albany International Receivables 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=receivables&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();