Applied Industrial Technologies (AIT) Tax Provisions (2009 - 2026)
Applied Industrial Technologies (AIT) recorded Tax Provisions of $30.54 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 9.9% from $27.78 million a year earlier but down 22.1% from the prior quarter.
Applied Industrial Technologies (AIT) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Applied Industrial Technologies' Tax Provisions came in at $132.51 million as of Sep 30, 2026, up 18.6% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $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%).
- Quarterly Tax Provisions has ranged from $15.01 million in fiscal Q2 2022 to $39.19 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for three consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- 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 $39.19 million (Q4 2026), $35.36 million (Q3 2026) and $27.42 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 73.34 Bn | 72.46 Bn | 2.05 Bn | 311.00 Mn |
| 2 | W.W. Grainger | 65.22 Bn | 62.82 Bn | 1.98 Bn | 198.00 Mn |
| 3 | Fastenal | 60.31 Bn | 59.31 Bn | 1.10 Bn | 129.60 Mn |
| 4 | Ferguson Enterprises | 46.98 Bn | 44.19 Bn | 2.32 Bn | 146.00 Mn |
| 5 | Sunbelt Rentals Holdings | 34.35 Bn | 34.23 Bn | 1.25 Bn | 153.00 Mn |
| 6 | Reliance | 22.84 Bn | 21.89 Bn | 1.45 Bn | 128.50 Mn |
| 7 | Wesco International | 16.33 Bn | 13.38 Bn | 1.57 Bn | 86.80 Mn |
| 8 | Watsco | 12.05 Bn | 12.05 Bn | 586.29 Mn | 46.96 Mn |
| 9 | Applied Industrial Technologies | 10.95 Bn | 10.83 Bn | 392.21 Mn | 30.54 Mn |
| 10 | Avantor | 10.57 Bn | 9.16 Bn | 534.80 Mn | -105.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.54 Mn |
| 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 |
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();