Albany International (AIN) Research & Development (2010 - 2026)
Albany International (AIN) recorded Research & Development of $11.72 million in Q2 2026, down 6.6% from $12.55 million a year earlier and down 9.5% from the prior quarter.
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Analysis
Albany International (AIN) Research & Development (2010 - 2026) Analysis & Trends
On a TTM basis, Albany International's Research & Development came in at $48.25 million as of Jun 30, 2026, up 4.8% year-over-year; for FY2025, it came in at $48.02 million, up 4.2% from FY2024.
- Annual Research & Development has increased for five straight years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $46.1 million in FY2024 (+13.5%), $40.63 million in FY2023 (+1.7%), $39.94 million in FY2022 (+2.6%) and $38.92 million in FY2021 (+10.1%).
- Quarterly Research & Development has ranged from $9.67 million in Q3 2021 to $12.96 million in Q1 2026 over the past five years.
- On a year-over-year basis, Research & Development rose in six of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 23.2% in Q1 2024, against a decline of 6.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.96 million (Q1 2026), $12.1 million (Q4 2025) and $11.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 460.00 Mn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 726.00 Mn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 921.00 Mn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 8.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 260.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 524.00 Mn |
| 10 | Albany International | 1.70 Bn | 1.29 Bn | 107.90 Mn | 11.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.72 Mn |
| Mar 31, 2026 | 12.96 Mn |
| Dec 31, 2025 | 12.10 Mn |
| Sep 30, 2025 | 11.47 Mn |
| Jun 30, 2025 | 12.55 Mn |
| Mar 31, 2025 | 11.90 Mn |
| Dec 31, 2024 | 10.73 Mn |
| Sep 30, 2024 | 10.84 Mn |
| Jun 30, 2024 | 11.86 Mn |
| Mar 31, 2024 | 12.67 Mn |
| Dec 31, 2023 | 10.32 Mn |
| Sep 30, 2023 | 9.71 Mn |
| Jun 30, 2023 | 10.32 Mn |
| Mar 31, 2023 | 10.28 Mn |
| Dec 31, 2022 | 9.96 Mn |
| Sep 30, 2022 | 9.93 Mn |
| Jun 30, 2022 | 10.16 Mn |
| Mar 31, 2022 | 9.89 Mn |
| Dec 31, 2021 | 10.01 Mn |
| Sep 30, 2021 | 9.67 Mn |
API Access
Albany International Research & Development 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=research-and-development&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();