Albany International (AIN) Property, Plant & Equipment (Net) (2009 - 2026)
Albany International's Property, Plant & Equipment (Net) was $467.42 million in Q2 2026, down 19.2% from $578.58 million a year earlier and down 1.0% from the prior quarter.
Albany International (AIN) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Albany International came in at $482.57 million, down 14.4% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $563.43 million in FY2024 (-6.4%), $601.99 million in FY2023 (+35.1%), $445.66 million in FY2022 (+2.1%) and $436.42 million in FY2021 (-2.7%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q2 2023.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for seven straight quarters, with an average decline of 7.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2023 (growth of 37.9%); the worst was Q2 2026 (a decline of 19.2%).
- Per Business Quant data, AIN's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $471.97 million (Q1 2026), $482.57 million (Q4 2025) and $573.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.14 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 16.97 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 11.39 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 2.82 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 7.58 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.17 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.30 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Albany International | 1.73 Bn | 1.31 Bn | 107.90 Mn | 467.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 467.42 Mn |
| Mar 31, 2026 | 471.97 Mn |
| Dec 31, 2025 | 482.57 Mn |
| Sep 30, 2025 | 573.23 Mn |
| Jun 30, 2025 | 578.58 Mn |
| Mar 31, 2025 | 564.97 Mn |
| Dec 31, 2024 | 563.43 Mn |
| Sep 30, 2024 | 583.46 Mn |
| Jun 30, 2024 | 582.17 Mn |
| Mar 31, 2024 | 589.97 Mn |
| Dec 31, 2023 | 601.99 Mn |
| Sep 30, 2023 | 566.97 Mn |
| Jun 30, 2023 | 451.99 Mn |
| Mar 31, 2023 | 450.25 Mn |
| Dec 31, 2022 | 445.66 Mn |
| Sep 30, 2022 | 411.14 Mn |
| Jun 30, 2022 | 419.14 Mn |
| Mar 31, 2022 | 431.86 Mn |
| Dec 31, 2021 | 436.42 Mn |
| Sep 30, 2021 | 426.81 Mn |
Albany International Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();