W.W. Grainger (GWW) Operating Margin (2009 - 2026)
W.W. Grainger's Operating Margin was 15.98% in Q3 2026, up 5.01 percentage points from 10.97% a year earlier but down 0.09 percentage points from the prior quarter.
W.W. Grainger (GWW) Operating Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, W.W. Grainger's Operating Margin was 15.81% through Sep 30, 2026, up 1.76 percentage points year-over-year; for FY2025, it came in at 13.91%, down 1.45 percentage points from FY2024.
- Operating Margin shows a five-year change of +5.27 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 15.36% in FY2024 (-0.21 pp), 15.57% in FY2023 (+1.02 pp), 14.55% in FY2022 (+2.67 pp) and 11.88% in FY2021 (+3.24 pp).
- Quarterly Operating Margin has moved between 10.97% (Q3 2025) and 16.72% (Q1 2026) over five years.
- Compared with a year earlier, Operating Margin has increased for three straight quarters, with an average year-over-year change of +0.34 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q3 2026 (a gain of 5.01 percentage points); the worst was Q3 2025 (a drop of 4.66 percentage points).
- Per Business Quant data, GWW's Operating Margin in the three quarters before Q3 2026 was 16.07% (Q2 2026), 16.72% (Q1 2026) and 14.33% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.28 Bn | 69.40 Bn | 2.05 Bn | 28.80% |
| 2 | W.W. Grainger | 68.56 Bn | 65.93 Bn | 2.01 Bn | 15.98% |
| 3 | Fastenal | 62.12 Bn | 61.12 Bn | 1.10 Bn | 21.55% |
| 4 | Ferguson Enterprises | 50.57 Bn | 47.78 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 33.19 Bn | 33.07 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.51 Bn | 20.56 Bn | 1.45 Bn | 10.59% |
| 7 | Wesco International | 15.21 Bn | 12.26 Bn | 1.57 Bn | 6.24% |
| 8 | Watsco | 11.99 Bn | 9.68 Bn | 578.93 Mn | 11.32% |
| 9 | Applied Industrial Technologies | 10.80 Bn | 10.69 Bn | 392.21 Mn | 11.12% |
| 10 | Avantor | 10.51 Bn | 9.10 Bn | 534.80 Mn | 8.21% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.98% |
| Jun 30, 2026 | 16.07% |
| Mar 31, 2026 | 16.72% |
| Dec 31, 2025 | 14.33% |
| Sep 30, 2025 | 10.97% |
| Jun 30, 2025 | 14.89% |
| Mar 31, 2025 | 15.61% |
| Dec 31, 2024 | 14.95% |
| Sep 30, 2024 | 15.63% |
| Jun 30, 2024 | 15.05% |
| Mar 31, 2024 | 15.80% |
| Dec 31, 2023 | 13.94% |
| Sep 30, 2023 | 15.85% |
| Jun 30, 2023 | 15.81% |
| Mar 31, 2023 | 16.62% |
| Dec 31, 2022 | 14.31% |
| Sep 30, 2022 | 15.30% |
| Jun 30, 2022 | 13.92% |
| Mar 31, 2022 | 14.64% |
| Dec 31, 2021 | 12.41% |
W.W. Grainger 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=GWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "GWW", "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=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();