Applied Industrial Technologies (AIT) Tax Provisions (2009 - 2026)
Applied Industrial Technologies (AIT) recorded Tax Provisions of $39.19 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 44.0% from $27.21 million a year earlier and up 10.8% from the prior quarter.
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Analysis
Applied Industrial Technologies (AIT) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies reported Tax Provisions of $129.75 million, up 20.2% from FY2025.
- Annual Tax Provisions has a five-year compound annual growth rate of 32.1% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $107.98 million in FY2025 (-3.9%), $112.37 million in FY2024 (+9.0%), $103.07 million in FY2023 (+42.4%) and $72.38 million in FY2022 (+124.0%).
- The fiscal Q4 2026 figure is the highest quarterly Tax Provisions in data going back to fiscal Q1 2010.
- On a year-over-year basis, Tax Provisions rose in five of the last eight quarters, with growth averaging 9.8%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 70.4% in fiscal Q3 2022, against a decline of 27.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $35.36 million (Q3 2026), $27.42 million (Q2 2026) and $27.78 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.76 Bn | 65.52 Bn | 1.73 Bn | 254.00 Mn |
| 2 | W.W. Grainger | 62.44 Bn | 60.04 Bn | 1.98 Bn | 198.00 Mn |
| 3 | Fastenal | 59.15 Bn | 58.07 Bn | 1.06 Bn | 119.30 Mn |
| 4 | Ferguson Enterprises | 43.40 Bn | 40.62 Bn | 2.32 Bn | 146.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.72 Bn | 31.60 Bn | 1.25 Bn | 153.00 Mn |
| 6 | Reliance | 20.61 Bn | 19.65 Bn | 1.30 Bn | 106.20 Mn |
| 7 | Wesco International | 17.76 Bn | 15.07 Bn | 1.46 Bn | 62.40 Mn |
| 8 | Applied Industrial Technologies | 12.47 Bn | 12.35 Bn | 411.22 Mn | 39.19 Mn |
| 9 | Watsco | 11.11 Bn | 8.79 Bn | 578.93 Mn | 50.57 Mn |
| 10 | Avantor | 10.53 Bn | 9.33 Bn | 537.00 Mn | 43.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.19 Mn |
| Mar 31, 2026 | 35.36 Mn |
| Dec 31, 2025 | 27.42 Mn |
| Sep 30, 2025 | 27.78 Mn |
| Jun 30, 2025 | 27.21 Mn |
| Mar 31, 2025 | 27.48 Mn |
| Dec 31, 2024 | 29.27 Mn |
| Sep 30, 2024 | 24.02 Mn |
| Jun 30, 2024 | 37.44 Mn |
| Mar 31, 2024 | 25.45 Mn |
| Dec 31, 2023 | 24.37 Mn |
| Sep 30, 2023 | 25.10 Mn |
| Jun 30, 2023 | 30.32 Mn |
| Mar 31, 2023 | 25.09 Mn |
| Dec 31, 2022 | 25.49 Mn |
| Sep 30, 2022 | 22.16 Mn |
| Jun 30, 2022 | 21.58 Mn |
| Mar 31, 2022 | 21.22 Mn |
| Dec 31, 2021 | 15.01 Mn |
| Sep 30, 2021 | 14.57 Mn |
API Access
Applied Industrial Technologies 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=AIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "AIT", "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=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();