Global Industrial (GIC) Cash from Operations (2010 - 2026)
Global Industrial's Cash from Operations came in at $44.3 million for Q3 2026, up 95.2% from $22.7 million a year earlier and up 7.0% from the prior quarter.
Global Industrial (GIC) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Global Industrial reported Cash from Operations of $112.1 million, up 52.1% year-over-year; for FY2025, it came in at $77.8 million, up 53.5% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $50.7 million in FY2024 (-54.7%), $112 million in FY2023 (+123.1%), $50.2 million in FY2022 (+0.8%) and $49.8 million in FY2021 (-27.0%).
- The Q3 2026 figure represents the highest quarterly Cash from Operations since Q4 2015.
- Year-over-year, Cash from Operations has increased for six consecutive quarters, with growth averaging 61.5% over the last eight quarters.
- The fastest year-over-year change in Cash from Operations over five years came in Q2 2023 (growth of 208.3%), and the weakest in Q1 2024 (a decline of 77.5%).
- Business Quant data shows GIC's Cash from Operations at $41.4 million (Q2 2026), $6.4 million (Q1 2026) and $20 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 70.32 Bn | 69.44 Bn | 2.05 Bn | 1.63 Bn |
| 2 | W.W. Grainger | 68.06 Bn | 65.42 Bn | 2.01 Bn | 661.00 Mn |
| 3 | Fastenal | 62.73 Bn | 61.73 Bn | 1.10 Bn | 421.60 Mn |
| 4 | Ferguson Enterprises | 50.77 Bn | 47.99 Bn | 2.32 Bn | 772.00 Mn |
| 5 | Sunbelt Rentals Holdings | 33.62 Bn | 33.50 Bn | 1.25 Bn | 840.00 Mn |
| 6 | Reliance | 21.51 Bn | 20.57 Bn | 1.45 Bn | 212.00 Mn |
| 7 | Wesco International | 15.41 Bn | 12.46 Bn | 1.57 Bn | 193.90 Mn |
| 8 | Watsco | 12.14 Bn | 9.83 Bn | 578.93 Mn | -2.54 Mn |
| 9 | Applied Industrial Technologies | 10.93 Bn | 10.82 Bn | 392.21 Mn | 86.38 Mn |
| 10 | Global Industrial | 1.77 Bn | 1.44 Bn | 138.90 Mn | 44.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.30 Mn |
| Jun 30, 2026 | 41.40 Mn |
| Mar 31, 2026 | 6.40 Mn |
| Dec 31, 2025 | 20.00 Mn |
| Sep 30, 2025 | 22.70 Mn |
| Jun 30, 2025 | 31.70 Mn |
| Mar 31, 2025 | 3.40 Mn |
| Dec 31, 2024 | 15.90 Mn |
| Sep 30, 2024 | 9.60 Mn |
| Jun 30, 2024 | 18.80 Mn |
| Mar 31, 2024 | 6.40 Mn |
| Dec 31, 2023 | 8.20 Mn |
| Sep 30, 2023 | 38.30 Mn |
| Jun 30, 2023 | 37.00 Mn |
| Mar 31, 2023 | 28.50 Mn |
| Dec 31, 2022 | 26.70 Mn |
| Sep 30, 2022 | 25.60 Mn |
| Jun 30, 2022 | 12.00 Mn |
| Mar 31, 2022 | -14.10 Mn |
| Dec 31, 2021 | -1.10 Mn |
Global Industrial Cash from Operations 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=cash-from-operations&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();