Applied Industrial Technologies (AIT) Operating Margin (2009 - 2026)
Applied Industrial Technologies' Operating Margin was 11.78% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.75 percentage points from 11.03% a year earlier and up 0.76 percentage points from the prior quarter.
Applied Industrial Technologies (AIT) Operating Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Margin at Applied Industrial Technologies came in at 11.06%, up 0.14 percentage points from FY2025.
- Operating Margin shows a five-year change of +4.71 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was 10.92% in FY2025 (-0.14 pp), 11.07% in FY2024 (+0.35 pp), 10.72% in FY2023 (+1.33 pp) and 9.39% in FY2022 (+3.04 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Margin since fiscal Q4 2024.
- Compared with a year earlier, Operating Margin was higher in four of the last eight quarters, with an average year-over-year change of -0.01 percentage points.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q2 2022 (a gain of 9.24 percentage points); the worst was fiscal Q4 2025 (a drop of 0.98 percentage points).
- Per Business Quant data, AIT's Operating Margin in the three fiscal quarters before Q4 2026 was 11.02% (Q3 2026), 10.59% (Q2 2026) and 10.76% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 16.07% |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 21.02% |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 8.19% |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 22.18% |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 9.54% |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 5.73% |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 11.78% |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 11.32% |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 7.20% |
| 10 | Core & Main | 7.82 Bn | 7.12 Bn | 573.00 Mn | 10.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.78% |
| Mar 31, 2026 | 11.02% |
| Dec 31, 2025 | 10.59% |
| Sep 30, 2025 | 10.76% |
| Jun 30, 2025 | 11.03% |
| Mar 31, 2025 | 11.09% |
| Dec 31, 2024 | 11.26% |
| Sep 30, 2024 | 10.30% |
| Jun 30, 2024 | 12.01% |
| Mar 31, 2024 | 10.57% |
| Dec 31, 2023 | 10.64% |
| Sep 30, 2023 | 11.02% |
| Jun 30, 2023 | 10.95% |
| Mar 31, 2023 | 11.21% |
| Dec 31, 2022 | 10.65% |
| Sep 30, 2022 | 10.03% |
| Jun 30, 2022 | 10.29% |
| Mar 31, 2022 | 9.77% |
| Dec 31, 2021 | 8.92% |
| Sep 30, 2021 | 8.37% |
Applied Industrial Technologies Operating Margin 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=operating-margin&ticker=AIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=AIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();