Applied Industrial Technologies (AIT) Operating Margin (2009 - 2026)
Applied Industrial Technologies' Operating Margin was 11.12% in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 0.36 percentage points from 10.76% a year earlier but down 0.66 percentage points from the prior quarter.
Applied Industrial Technologies (AIT) Operating Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Industrial Technologies' Operating Margin was 11.15% through Sep 30, 2026, up 0.12 percentage points year-over-year; for FY2026 (ended Jun 30, 2026), it 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).
- Quarterly Operating Margin has moved between 8.92% (fiscal Q2 2022) and 12.01% (fiscal Q4 2024) over five years.
- Compared with a year earlier, Operating Margin was higher in five of the last eight quarters, with an average year-over-year change of +0.12 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 Q1 2027 was 11.78% (Q4 2026), 11.02% (Q3 2026) and 10.59% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 15.98% |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 28.80% |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 21.55% |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 10.59% |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 6.24% |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 11.32% |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | 8.21% |
| 10 | Applied Industrial Technologies | 10.39 Bn | 10.28 Bn | 392.21 Mn | 11.12% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.12% |
| 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% |
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_KEYimport 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();