Albany International (AIN) Total Debt (2010 - 2026)
Albany International (AIN) posted Total Debt of $450.67 million for Q2 2026, up 1.3% from $444.69 million a year earlier but down 5.4% from the prior quarter.
Albany International (AIN) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Albany International's Total Debt came in at $455.66 million, up 43.1% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Albany International's Total Debt was $318.53 million in FY2024 (-30.3%), $456.89 million in FY2023 (+4.1%), $439 million in FY2022 (+25.4%) and $350 million in FY2021 (-12.1%).
- Quarterly Total Debt has run from a low of $318.53 million in Q4 2024 to a high of $491 million in Q1 2023 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last five quarters, with growth averaging 6.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q4 2025, with growth of 43.1%; the weakest was Q4 2024, with a decline of 30.3%.
- According to Business Quant data, Total Debt for the three prior quarters was $476.54 million (Q1 2026), $455.66 million (Q4 2025) and $480.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 19.16 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 37.38 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 45.90 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 20.54 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 4.95 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 7.52 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 9.03 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 14.43 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 34.01 Bn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 450.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 450.67 Mn |
| Mar 31, 2026 | 476.54 Mn |
| Dec 31, 2025 | 455.66 Mn |
| Sep 30, 2025 | 480.63 Mn |
| Jun 30, 2025 | 444.69 Mn |
| Mar 31, 2025 | 416.43 Mn |
| Dec 31, 2024 | 318.53 Mn |
| Sep 30, 2024 | 362.19 Mn |
| Jun 30, 2024 | 377.06 Mn |
| Mar 31, 2024 | 439.13 Mn |
| Dec 31, 2023 | 456.89 Mn |
| Sep 30, 2023 | 490.59 Mn |
| Jun 30, 2023 | 487.00 Mn |
| Mar 31, 2023 | 491.00 Mn |
| Dec 31, 2022 | 439.00 Mn |
| Sep 30, 2022 | 447.00 Mn |
| Jun 30, 2022 | 485.00 Mn |
| Mar 31, 2022 | 427.00 Mn |
| Dec 31, 2021 | 350.00 Mn |
| Sep 30, 2021 | 350.00 Mn |
Albany International Total Debt 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=total-debt&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();