Albany International (AIN) Amortizatization of Intangibles (2010 - 2026)
Albany International (AIN) posted Amortizatization of Intangibles of $643,000 for Q2 2026, down 48.6% from $1.25 million a year earlier and down 1.2% from the prior quarter.
Albany International (AIN) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Albany International was $3.54 million, down 44.3% year-over-year; for FY2025, it was $5.2 million, down 24.0% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of -11.1% (FY2020 to FY2025).
- In prior years, Albany International's Amortizatization of Intangibles was $6.84 million in FY2024 (+7.6%), $6.36 million in FY2023 (-3.2%), $6.57 million in FY2022 (-28.0%) and $9.13 million in FY2021 (-2.7%).
- The Q2 2026 figure stands as the lowest quarterly Amortizatization of Intangibles in data going back to Q1 2010.
- On a year-over-year basis, Amortizatization of Intangibles has declined in each of the last seven quarters, with an average decline of 25.3% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q1 2024, with growth of 16.3%; the weakest was Q1 2026, with a decline of 61.8%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $651,000 (Q1 2026), $1.3 million (Q4 2025) and $946,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 88.00 Mn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 43.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Albany International | 1.73 Bn | 1.31 Bn | 107.90 Mn | 643,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 643,000.00 |
| Mar 31, 2026 | 651,000.00 |
| Dec 31, 2025 | 1.30 Mn |
| Sep 30, 2025 | 946,000.00 |
| Jun 30, 2025 | 1.25 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 1.74 Mn |
| Jun 30, 2024 | 1.70 Mn |
| Mar 31, 2024 | 1.75 Mn |
| Dec 31, 2023 | 1.75 Mn |
| Sep 30, 2023 | 1.60 Mn |
| Jun 30, 2023 | 1.52 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 1.53 Mn |
| Sep 30, 2022 | 1.45 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 2.17 Mn |
| Dec 31, 2021 | 2.26 Mn |
| Sep 30, 2021 | 2.29 Mn |
Albany International Amortizatization of 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=amortizatization-of-intangibles&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();