Global Industrial (GIC) Gross Margin (2010 - 2026)
Global Industrial (GIC) posted Gross Margin of 40.20% for Q2 2026, up 3.14 percentage points from 37.06% a year earlier and up 5.41 percentage points from the prior quarter.
Global Industrial (GIC) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Global Industrial was 36.37%, up 1.37 percentage points year-over-year; for FY2025, it came in at 35.54%, up 1.20 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +0.86 percentage points (FY2020 to FY2025).
- In prior years, Global Industrial's Gross Margin was 34.35% in FY2024 (+0.15 pp), 34.20% in FY2023 (-1.92 pp), 36.12% in FY2022 (+0.91 pp) and 35.21% in FY2021 (+0.52 pp).
- The Q2 2026 figure stands as the highest quarterly Gross Margin in data going back to Q2 2010.
- On a year-over-year basis, Gross Margin increased in seven of the last eight quarters, with an average year-over-year change of +1.12 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2022, with a gain of 6.57 percentage points; the weakest was Q3 2023, with a drop of 2.91 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 34.79% (Q1 2026), 34.46% (Q4 2025) and 35.63% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 39.51% |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 44.56% |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 31.02% |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 40.10% |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 28.09% |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 21.85% |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 30.40% |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 27.50% |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 31.73% |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 40.20% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.20% |
| Mar 31, 2026 | 34.79% |
| Dec 31, 2025 | 34.46% |
| Sep 30, 2025 | 35.63% |
| Jun 30, 2025 | 37.06% |
| Mar 31, 2025 | 34.92% |
| Dec 31, 2024 | 33.84% |
| Sep 30, 2024 | 33.97% |
| Jun 30, 2024 | 35.22% |
| Mar 31, 2024 | 34.29% |
| Dec 31, 2023 | 33.80% |
| Sep 30, 2023 | 32.80% |
| Jun 30, 2023 | 34.65% |
| Mar 31, 2023 | 35.94% |
| Dec 31, 2022 | 36.01% |
| Sep 30, 2022 | 35.71% |
| Jun 30, 2022 | 35.48% |
| Mar 31, 2022 | 37.35% |
| Dec 31, 2021 | 37.02% |
| Sep 30, 2021 | 36.77% |
Global Industrial Gross 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=gross-margin&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "GIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();