Albany International (AIN) Cost of Revenue (2009 - 2026)
Albany International (AIN) reported Cost of Revenue of $209.16 million for Q3 2026, down 32.8% from $311.37 million a year earlier and down 5.6% from the prior quarter.
Albany International (AIN) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Albany International's Cost of Revenue came in at $863.62 million, down 5.5% year-over-year; for FY2025, it was $938.89 million, up 13.3% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $828.84 million in FY2024 (+14.5%), $724.19 million in FY2023 (+12.3%), $645.11 million in FY2022 (+17.1%) and $550.85 million in FY2021 (+4.0%).
- The Q3 2026 figure ranks as the lowest quarterly Cost of Revenue since Q1 2025.
- Year over year, Cost of Revenue gained in four of the last eight quarters, with growth averaging 3.9%.
- The high point for year-over-year Cost of Revenue in five years was Q3 2025 (growth of 49.7%); the low point was Q3 2026 (a decline of 32.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $221.58 million (Q2 2026), $211.54 million (Q1 2026) and $221.34 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 347.14 Bn | 305.66 Bn | 5.02 Bn | 9.10 Bn |
| 2 | Rtx | 265.26 Bn | 233.53 Bn | 5.81 Bn | 19.16 Bn |
| 3 | Boeing | 137.19 Bn | 46.15 Bn | 2.17 Bn | 22.02 Bn |
| 4 | Lockheed Martin | 134.98 Bn | 119.21 Bn | 2.44 Bn | 18.28 Bn |
| 5 | General Dynamics | 98.05 Bn | 83.28 Bn | 2.25 Bn | 12.32 Bn |
| 6 | Motorola Solutions | 87.16 Bn | 83.62 Bn | 1.77 Bn | 1.61 Bn |
| 7 | Howmet Aerospace | 86.42 Bn | 82.17 Bn | 1.00 Bn | 1.70 Bn |
| 8 | Northrop Grumman | 76.88 Bn | 64.34 Bn | 2.35 Bn | 8.77 Bn |
| 9 | Honeywell International | 72.94 Bn | 32.45 Bn | 2.02 Bn | 2.98 Bn |
| 10 | Albany International | 2.01 Bn | 1.61 Bn | 140.38 Mn | 209.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 209.16 Mn |
| Jun 30, 2026 | 221.58 Mn |
| Mar 31, 2026 | 211.54 Mn |
| Dec 31, 2025 | 221.34 Mn |
| Sep 30, 2025 | 311.37 Mn |
| Jun 30, 2025 | 213.89 Mn |
| Mar 31, 2025 | 192.29 Mn |
| Dec 31, 2024 | 196.58 Mn |
| Sep 30, 2024 | 208.00 Mn |
| Jun 30, 2024 | 219.61 Mn |
| Mar 31, 2024 | 204.64 Mn |
| Dec 31, 2023 | 203.72 Mn |
| Sep 30, 2023 | 179.27 Mn |
| Jun 30, 2023 | 171.42 Mn |
| Mar 31, 2023 | 169.78 Mn |
| Dec 31, 2022 | 171.69 Mn |
| Sep 30, 2022 | 160.07 Mn |
| Jun 30, 2022 | 160.78 Mn |
| Mar 31, 2022 | 152.57 Mn |
| Dec 31, 2021 | 143.84 Mn |
Albany International Cost of Revenue 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=cost-of-revenue&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();