Albany International (AIN) Prepaid Assets (2010 - 2026)
Albany International's Prepaid Assets was $40.4 million in Q2 2026, up 0.5% from $40.22 million a year earlier but down 0.2% from the prior quarter.
Albany International (AIN) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Prepaid Assets at Albany International came in at $34.99 million, down 5.8% from FY2024.
- Prepaid Assets shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In earlier years, Prepaid Assets was $37.13 million in FY2024 (-31.1%), $53.87 million in FY2023 (+5.7%), $50.96 million in FY2022 (+57.3%) and $32.39 million in FY2021 (+1.8%).
- Quarterly Prepaid Assets has moved between $29.02 million (Q3 2021) and $61.16 million (Q3 2023) over five years.
- Compared with a year earlier, Prepaid Assets was higher in three of the last eight quarters, with an average decline of 14.6%.
- The best year-over-year quarter for Prepaid Assets over five years was Q3 2022 (growth of 61.1%); the worst was Q3 2024 (a decline of 33.9%).
- Per Business Quant data, AIN's Prepaid Assets in the three quarters before Q2 2026 was $40.48 million (Q1 2026), $34.99 million (Q4 2025) and $40.76 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.40 Mn |
| Mar 31, 2026 | 40.48 Mn |
| Dec 31, 2025 | 34.99 Mn |
| Sep 30, 2025 | 40.76 Mn |
| Jun 30, 2025 | 40.22 Mn |
| Mar 31, 2025 | 39.95 Mn |
| Dec 31, 2024 | 37.13 Mn |
| Sep 30, 2024 | 40.40 Mn |
| Jun 30, 2024 | 49.14 Mn |
| Mar 31, 2024 | 57.33 Mn |
| Dec 31, 2023 | 53.87 Mn |
| Sep 30, 2023 | 61.16 Mn |
| Jun 30, 2023 | 55.54 Mn |
| Mar 31, 2023 | 52.86 Mn |
| Dec 31, 2022 | 50.96 Mn |
| Sep 30, 2022 | 46.76 Mn |
| Jun 30, 2022 | 43.19 Mn |
| Mar 31, 2022 | 37.39 Mn |
| Dec 31, 2021 | 32.39 Mn |
| Sep 30, 2021 | 29.02 Mn |
Albany International Prepaid Assets 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=prepaid-assets&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();