Albany International (AIN) Tax Provisions (2010 - 2026)
Albany International (AIN) posted Tax Provisions of $8.33 million for Q2 2026, up 95.7% from $4.25 million a year earlier and up 8.8% from the prior quarter.
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Analysis
Albany International (AIN) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Albany International was $619,000, down 96.7% year-over-year; for FY2025, it came in at -$4.83 million.
- In prior years, Albany International's Tax Provisions was $29.03 million in FY2024 (-40.6%), $48.85 million in FY2023 (+37.7%), $35.47 million in FY2022 (-24.8%) and $47.16 million in FY2021 (+12.7%).
- Quarterly Tax Provisions has run from a low of -$24.42 million in Q3 2025 to a high of $20.08 million in Q2 2023 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with an average decline of 8.5% over the last seven quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2021, with growth of 149.3%; the weakest was Q3 2024, with a decline of 86.1%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $7.65 million (Q1 2026), $9.06 million (Q4 2025) and -$24.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.58 Bn |
| 10 | Albany International | 1.69 Bn | 1.28 Bn | 107.90 Mn | 8.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.33 Mn |
| Mar 31, 2026 | 7.65 Mn |
| Dec 31, 2025 | 9.06 Mn |
| Sep 30, 2025 | -24.42 Mn |
| Jun 30, 2025 | 4.25 Mn |
| Mar 31, 2025 | 6.28 Mn |
| Dec 31, 2024 | 6.90 Mn |
| Sep 30, 2024 | 1.28 Mn |
| Jun 30, 2024 | 9.58 Mn |
| Mar 31, 2024 | 11.27 Mn |
| Dec 31, 2023 | 8.94 Mn |
| Sep 30, 2023 | 9.21 Mn |
| Jun 30, 2023 | 20.08 Mn |
| Mar 31, 2023 | 10.62 Mn |
| Dec 31, 2022 | 13.20 Mn |
| Sep 30, 2022 | -3.18 Mn |
| Jun 30, 2022 | 14.46 Mn |
| Mar 31, 2022 | 11.00 Mn |
| Dec 31, 2021 | 10.79 Mn |
| Sep 30, 2021 | 12.89 Mn |
API Access
Albany International Tax Provisions 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=tax-provisions&ticker=AIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();