Albany International (AIN) Intangibles (2010 - 2026)
Albany International (AIN) reported Intangibles of $19.67 million for Q2 2026, down 47.4% from $37.4 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Albany International (AIN) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Albany International posted Intangibles of $21.43 million, down 43.8% from FY2024.
- Intangibles has a five-year compound annual growth rate of -14.5% (FY2020 to FY2025).
- By year, Intangibles came in at $38.13 million in FY2024 (-14.6%), $44.65 million in FY2023 (+32.0%), $33.81 million in FY2022 (-13.5%) and $39.08 million in FY2021 (-16.6%).
- The Q2 2026 figure ranks as the lowest quarterly Intangibles since Q4 2015.
- Year over year, Intangibles has now declined in each of the last eight quarters, with an average decline of 24.2% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q4 2023 (growth of 32.0%); the low point was Q2 2026 (a decline of 47.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.44 million (Q1 2026), $21.43 million (Q4 2025) and $36.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 2.95 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 6.41 Bn |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn | 19.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.67 Mn |
| Mar 31, 2026 | 20.44 Mn |
| Dec 31, 2025 | 21.43 Mn |
| Sep 30, 2025 | 36.10 Mn |
| Jun 30, 2025 | 37.40 Mn |
| Mar 31, 2025 | 37.56 Mn |
| Dec 31, 2024 | 38.13 Mn |
| Sep 30, 2024 | 41.00 Mn |
| Jun 30, 2024 | 41.51 Mn |
| Mar 31, 2024 | 42.84 Mn |
| Dec 31, 2023 | 44.65 Mn |
| Sep 30, 2023 | 44.64 Mn |
| Jun 30, 2023 | 31.84 Mn |
| Mar 31, 2023 | 32.87 Mn |
| Dec 31, 2022 | 33.81 Mn |
| Sep 30, 2022 | 34.31 Mn |
| Jun 30, 2022 | 35.72 Mn |
| Mar 31, 2022 | 37.17 Mn |
| Dec 31, 2021 | 39.08 Mn |
| Sep 30, 2021 | 41.02 Mn |
API Access
Albany International Intangibles 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=intangibles&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();