Albany International (AIN) Capital Expenditures (2010 - 2026)
Albany International (AIN) reported Capital Expenditures of $11.88 million for Q2 2026, down 14.7% from $13.93 million a year earlier but up 27.9% from the prior quarter.
Albany International (AIN) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Albany International's Capital Expenditures came in at $61.47 million, down 2.7% year-over-year; for FY2025, it came in at $69.83 million, down 13.0% from FY2024.
- Capital Expenditures has declined for three consecutive years, though with a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $80.25 million in FY2024 (-4.0%), $83.56 million in FY2023 (-10.8%), $93.68 million in FY2022 (+77.4%) and $52.79 million in FY2021 (+27.3%).
- Five-year quarterly Capital Expenditures spans a low of $8.92 million in Q3 2021 and a high of $42.73 million in Q4 2022.
- Year over year, Capital Expenditures gained in three of the last eight quarters, with an average decline of 15.6%.
- The high point for year-over-year Capital Expenditures in five years was Q4 2021 (growth of 107.4%); the low point was Q4 2024 (a decline of 47.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.29 million (Q1 2026), $22.27 million (Q4 2025) and $18.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 11.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.88 Mn |
| Mar 31, 2026 | 9.29 Mn |
| Dec 31, 2025 | 22.27 Mn |
| Sep 30, 2025 | 18.03 Mn |
| Jun 30, 2025 | 13.93 Mn |
| Mar 31, 2025 | 15.60 Mn |
| Dec 31, 2024 | 18.26 Mn |
| Sep 30, 2024 | 15.37 Mn |
| Jun 30, 2024 | 19.76 Mn |
| Mar 31, 2024 | 26.86 Mn |
| Dec 31, 2023 | 34.71 Mn |
| Sep 30, 2023 | 13.95 Mn |
| Jun 30, 2023 | 18.62 Mn |
| Mar 31, 2023 | 16.28 Mn |
| Dec 31, 2022 | 42.73 Mn |
| Sep 30, 2022 | 15.29 Mn |
| Jun 30, 2022 | 19.94 Mn |
| Mar 31, 2022 | 15.72 Mn |
| Dec 31, 2021 | 21.04 Mn |
| Sep 30, 2021 | 8.92 Mn |
Albany International Capital Expenditures 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=capital-expenditures&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();