Albany International (AIN) Selling, General & Administrative (2010 - 2026)
Albany International's Selling, General & Administrative was $56.07 million in Q2 2026, down 4.2% from $58.5 million a year earlier and down 3.8% from the prior quarter.
Albany International (AIN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Albany International's Selling, General & Administrative was $220.38 million through Jun 30, 2026, up 3.5% year-over-year; for FY2025, it was $218.33 million, up 3.5% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $210.88 million in FY2024 (-1.9%), $214.92 million in FY2023 (+27.4%), $168.71 million in FY2022 (+5.4%) and $160.13 million in FY2021 (-2.3%).
- Quarterly Selling, General & Administrative has moved between $36.87 million (Q3 2022) and $67.7 million (Q4 2023) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 1.1%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2023 (growth of 41.0%); the worst was Q4 2024 (a decline of 28.5%).
- Per Business Quant data, AIN's Selling, General & Administrative in the three quarters before Q2 2026 was $58.3 million (Q1 2026), $54.11 million (Q4 2025) and $51.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 1.43 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 148.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 723.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Albany International | 1.68 Bn | 1.26 Bn | 107.90 Mn | 56.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.07 Mn |
| Mar 31, 2026 | 58.30 Mn |
| Dec 31, 2025 | 54.11 Mn |
| Sep 30, 2025 | 51.91 Mn |
| Jun 30, 2025 | 58.50 Mn |
| Mar 31, 2025 | 53.81 Mn |
| Dec 31, 2024 | 48.44 Mn |
| Sep 30, 2024 | 52.10 Mn |
| Jun 30, 2024 | 55.52 Mn |
| Mar 31, 2024 | 54.84 Mn |
| Dec 31, 2023 | 67.70 Mn |
| Sep 30, 2023 | 51.98 Mn |
| Jun 30, 2023 | 46.76 Mn |
| Mar 31, 2023 | 48.48 Mn |
| Dec 31, 2022 | 49.39 Mn |
| Sep 30, 2022 | 36.87 Mn |
| Jun 30, 2022 | 39.75 Mn |
| Mar 31, 2022 | 42.71 Mn |
| Dec 31, 2021 | 43.23 Mn |
| Sep 30, 2021 | 37.70 Mn |
Albany International Selling, General & Administrative 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=selling-general-and-administrative&ticker=AIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();