Applied Industrial Technologies (AIT) Tax Rate (2009 - 2026)
Applied Industrial Technologies (AIT) posted Tax Rate of 24.84% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.69 percentage points from 20.15% a year earlier but down 1.33 percentage points from the prior quarter.
Applied Industrial Technologies (AIT) Tax Rate (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Applied Industrial Technologies' Tax Rate came in at 23.84%, up 2.28 percentage points from FY2025.
- Annual Tax Rate shows a five-year change of +5.59 percentage points (FY2021 to FY2026).
- In prior fiscal years, Applied Industrial Technologies' Tax Rate was 21.55% in FY2025 (-1.00 pp), 22.56% in FY2024 (-0.36 pp), 22.91% in FY2023 (+0.97 pp) and 21.95% in FY2022 (+3.70 pp).
- Quarterly Tax Rate has run from a low of 20.15% in fiscal Q4 2025 to a high of 26.57% in fiscal Q4 2024 over five years.
- On a year-over-year basis, Tax Rate increased in five of the last eight quarters, with an average year-over-year change of +0.68 percentage points.
- The strongest year-over-year quarter for Tax Rate in the past five years was fiscal Q3 2022, with a gain of 5.52 percentage points; the weakest was fiscal Q2 2022, with a drop of 26.70 percentage points.
- According to Business Quant data, Tax Rate for the three prior fiscal quarters was 26.17% (Q3 2026), 22.34% (Q2 2026) and 21.60% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Tax Rate (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 25.22% |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 24.81% |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 23.76% |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 26.07% |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 25.89% |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 24.71% |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 22.94% |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 24.84% |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 20.91% |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn | 53.08% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.84% |
| Mar 31, 2026 | 26.17% |
| Dec 31, 2025 | 22.34% |
| Sep 30, 2025 | 21.60% |
| Jun 30, 2025 | 20.15% |
| Mar 31, 2025 | 21.59% |
| Dec 31, 2024 | 23.88% |
| Sep 30, 2024 | 20.69% |
| Jun 30, 2024 | 26.57% |
| Mar 31, 2024 | 20.75% |
| Dec 31, 2023 | 21.08% |
| Sep 30, 2023 | 21.11% |
| Jun 30, 2023 | 24.75% |
| Mar 31, 2023 | 20.52% |
| Dec 31, 2022 | 24.06% |
| Sep 30, 2022 | 22.38% |
| Jun 30, 2022 | 21.43% |
| Mar 31, 2022 | 23.70% |
| Dec 31, 2021 | 20.84% |
| Sep 30, 2021 | 21.57% |
Applied Industrial Technologies Tax Rate 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-rate&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-rate", "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-rate&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();