Global Industrial (GIC) Free Cash Flow (2010 - 2026)
Global Industrial (GIC) posted Free Cash Flow of $40.5 million for Q2 2026, up 33.7% from $30.3 million a year earlier and up 623.2% from the prior quarter.
Global Industrial (GIC) Free Cash Flow (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Free Cash Flow at Global Industrial was $87.3 million, up 52.1% year-over-year; for FY2025, it came in at $74.7 million, up 59.3% from FY2024.
- Annual Free Cash Flow shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Global Industrial's Free Cash Flow was $46.9 million in FY2024 (-56.6%), $108.1 million in FY2023 (+152.6%), $42.8 million in FY2022 (-7.8%) and $46.4 million in FY2021 (-29.2%).
- The Q2 2026 figure stands as the highest quarterly Free Cash Flow since Q4 2015.
- On a year-over-year basis, Free Cash Flow has increased in each of the last five quarters, with growth averaging 43.0% over the last eight quarters.
- The strongest year-over-year quarter for Free Cash Flow in the past five years was Q2 2023, with growth of 230.0%; the weakest was Q1 2024, with a decline of 81.7%.
- According to Business Quant data, Free Cash Flow for the three prior quarters was $5.6 million (Q1 2026), $19.2 million (Q4 2025) and $22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 333.00 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 201.60 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 680.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | -15.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 68.80 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 25.50 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 159.74 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | -11.52 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 140.60 Mn |
| 10 | Global Industrial | 1.60 Bn | 1.32 Bn | 155.40 Mn | 40.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.50 Mn |
| Mar 31, 2026 | 5.60 Mn |
| Dec 31, 2025 | 19.20 Mn |
| Sep 30, 2025 | 22.00 Mn |
| Jun 30, 2025 | 30.30 Mn |
| Mar 31, 2025 | 3.20 Mn |
| Dec 31, 2024 | 15.20 Mn |
| Sep 30, 2024 | 8.70 Mn |
| Jun 30, 2024 | 17.90 Mn |
| Mar 31, 2024 | 5.10 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 36.40 Mn |
| Jun 30, 2023 | 36.30 Mn |
| Mar 31, 2023 | 27.80 Mn |
| Dec 31, 2022 | 24.20 Mn |
| Sep 30, 2022 | 22.80 Mn |
| Jun 30, 2022 | 11.00 Mn |
| Mar 31, 2022 | -15.20 Mn |
| Dec 31, 2021 | -1.10 Mn |
| Sep 30, 2021 | 17.30 Mn |
Global Industrial Free Cash Flow 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=free-cash-flow&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();