Global Industrial (GIC) EBT (2010 - 2026)
Global Industrial (GIC) posted EBT of $50.3 million for Q2 2026, up 48.8% from $33.8 million a year earlier and up 143.0% from the prior quarter.
Global Industrial (GIC) EBT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at Global Industrial was $116.7 million, up 32.3% year-over-year; for FY2025, it came in at $97.6 million, up 22.3% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Global Industrial's EBT was $79.8 million in FY2024 (-16.2%), $95.2 million in FY2023 (-8.3%), $103.8 million in FY2022 (+18.5%) and $87.6 million in FY2021 (+4.3%).
- The Q2 2026 figure stands as the highest quarterly EBT in data going back to Q2 2010.
- On a year-over-year basis, EBT has increased in each of the last six quarters, with growth averaging 12.6% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q1 2022, with growth of 347.7%; the weakest was Q1 2023, with a decline of 39.5%.
- According to Business Quant data, EBT for the three prior quarters was $20.7 million (Q1 2026), $19.6 million (Q4 2025) and $26.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 798.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 502.10 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 560.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 591.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 429.80 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 272.00 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 157.79 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 241.87 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 81.20 Mn |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 50.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.30 Mn |
| Mar 31, 2026 | 20.70 Mn |
| Dec 31, 2025 | 19.60 Mn |
| Sep 30, 2025 | 26.10 Mn |
| Jun 30, 2025 | 33.80 Mn |
| Mar 31, 2025 | 18.10 Mn |
| Dec 31, 2024 | 14.10 Mn |
| Sep 30, 2024 | 22.20 Mn |
| Jun 30, 2024 | 26.30 Mn |
| Mar 31, 2024 | 17.20 Mn |
| Dec 31, 2023 | 21.30 Mn |
| Sep 30, 2023 | 27.50 Mn |
| Jun 30, 2023 | 28.80 Mn |
| Mar 31, 2023 | 17.60 Mn |
| Dec 31, 2022 | 17.60 Mn |
| Sep 30, 2022 | 26.90 Mn |
| Jun 30, 2022 | 30.20 Mn |
| Mar 31, 2022 | 29.10 Mn |
| Dec 31, 2021 | 26.10 Mn |
| Sep 30, 2021 | 30.40 Mn |
Global Industrial EBT 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=ebt&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();