Global Industrial (GIC) Net Income (2010 - 2026)
Global Industrial's Net Income was $24.6 million in Q3 2026, up 30.9% from $18.8 million a year earlier but down 33.7% from the prior quarter.
Global Industrial (GIC) Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Industrial's Net Income was $92.9 million through Sep 30, 2026, up 36.2% year-over-year; for FY2025, it was $72.1 million, up 18.2% from FY2024.
- Net Income shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, Net Income was $61 million in FY2024 (-13.7%), $70.7 million in FY2023 (-10.3%), $78.8 million in FY2022 (-23.7%) and $103.3 million in FY2021 (+58.0%).
- Quarterly Net Income has moved between $10.7 million (Q4 2024) and $43 million (Q4 2021) over five years.
- Compared with a year earlier, Net Income has increased for seven straight quarters, with growth averaging 18.2% over the last eight quarters.
- The best year-over-year quarter for Net Income over five years was Q4 2021 (growth of 165.4%); the worst was Q4 2022 (a decline of 67.9%).
- Per Business Quant data, GIC's Net Income in the three quarters before Q3 2026 was $37.1 million (Q2 2026), $16.6 million (Q1 2026) and $14.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 920.00 Mn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 616.00 Mn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 401.60 Mn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 414.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 438.00 Mn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 403.40 Mn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 268.50 Mn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | 191.30 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 110.40 Mn |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 24.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.60 Mn |
| Jun 30, 2026 | 37.10 Mn |
| Mar 31, 2026 | 16.60 Mn |
| Dec 31, 2025 | 14.60 Mn |
| Sep 30, 2025 | 18.80 Mn |
| Jun 30, 2025 | 25.10 Mn |
| Mar 31, 2025 | 13.60 Mn |
| Dec 31, 2024 | 10.70 Mn |
| Sep 30, 2024 | 16.80 Mn |
| Jun 30, 2024 | 20.30 Mn |
| Mar 31, 2024 | 13.20 Mn |
| Dec 31, 2023 | 15.30 Mn |
| Sep 30, 2023 | 20.70 Mn |
| Jun 30, 2023 | 21.50 Mn |
| Mar 31, 2023 | 13.20 Mn |
| Dec 31, 2022 | 13.80 Mn |
| Sep 30, 2022 | 20.20 Mn |
| Jun 30, 2022 | 22.80 Mn |
| Mar 31, 2022 | 22.00 Mn |
| Dec 31, 2021 | 43.00 Mn |
Global Industrial Net Income 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=net-income&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();