Global Industrial (GIC) Return on Assets [ROA] (2011 - 2026)
Global Industrial (GIC) posted Return on Assets [ROA] of 14.71% for Q3 2026, up 3.24 percentage points from 11.47% a year earlier and up 0.31 percentage points from the prior quarter.
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Analysis
Global Industrial (GIC) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Global Industrial's Return on Assets [ROA] came in at 13.09%, up 1.29 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -3.86 percentage points (FY2020 to FY2025).
- In prior years, Global Industrial's Return on Assets [ROA] was 11.80% in FY2024 (-2.80 pp), 14.60% in FY2023 (-3.72 pp), 18.32% in FY2022 (-8.17 pp) and 26.49% in FY2021 (+9.54 pp).
- The Q3 2026 figure stands as the highest quarterly Return on Assets [ROA] since Q1 2023.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last four quarters, with an average year-over-year change of +0.20 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q4 2021, with a gain of 8.75 percentage points; the weakest was Q1 2023, with a drop of 10.59 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 14.40% (Q2 2026), 12.93% (Q1 2026) and 12.19% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 8.91% |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 23.05% |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 26.29% |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 11.44% |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 6.70% |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 9.74% |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 4.34% |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 11.52% |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 14.15% |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 14.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.71% |
| Jun 30, 2026 | 14.40% |
| Mar 31, 2026 | 12.93% |
| Dec 31, 2025 | 12.19% |
| Sep 30, 2025 | 11.47% |
| Jun 30, 2025 | 11.79% |
| Mar 31, 2025 | 11.61% |
| Dec 31, 2024 | 11.59% |
| Sep 30, 2024 | 12.21% |
| Jun 30, 2024 | 13.11% |
| Mar 31, 2024 | 13.72% |
| Dec 31, 2023 | 13.58% |
| Sep 30, 2023 | 12.79% |
| Jun 30, 2023 | 13.53% |
| Mar 31, 2023 | 15.27% |
| Dec 31, 2022 | 16.95% |
| Sep 30, 2022 | 22.05% |
| Jun 30, 2022 | 23.30% |
| Mar 31, 2022 | 25.86% |
| Dec 31, 2021 | 24.75% |
API Access
Global Industrial Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();