Albany International (AIN) Intangibles (2010 - 2026)
Albany International (AIN) reported Intangibles of $30.41 million for Q3 2026, down 15.8% from $36.1 million a year earlier but up 54.6% 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%).
- Five-year quarterly Intangibles spans a low of $19.67 million in Q2 2026 and a high of $44.65 million in Q4 2023.
- Year over year, Intangibles has now declined in each of the last nine quarters, with an average decline of 25.2% 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 Q3 2026 came in at $19.67 million (Q2 2026), $20.44 million (Q1 2026) and $21.43 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 4.03 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 30.65 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 1.28 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 1.74 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 1.23 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 3.50 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 855.00 Mn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 5.44 Bn |
| 10 | Albany International | 1.90 Bn | 1.51 Bn | 140.38 Mn | 30.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.41 Mn |
| 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 |
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();