Global Industrial (GIC) Cash & Equivalents (2010 - 2026)
Global Industrial (GIC) reported Cash & Equivalents of $86.7 million for Q2 2026, up 57.4% from $55.1 million a year earlier and up 40.5% from the prior quarter.
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Analysis
Global Industrial (GIC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Global Industrial posted Cash & Equivalents of $67.5 million, up 51.3% from FY2024.
- Cash & Equivalents has increased for four consecutive years, with a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $44.6 million in FY2024 (+29.7%), $34.4 million in FY2023 (+20.7%), $28.5 million in FY2022 (+85.1%) and $15.4 million in FY2021 (-31.3%).
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2019.
- Year over year, Cash & Equivalents has now increased in each of the last eight quarters, with growth averaging 44.4% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2023 (growth of 230.1%); the low point was Q3 2022 (a decline of 63.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $61.7 million (Q1 2026), $67.5 million (Q4 2025) and $67.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 112.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 589.00 Mn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 204.70 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 820.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 32.00 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 235.40 Mn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 808.90 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | - |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 364.19 Mn |
| 10 | Global Industrial | 1.66 Bn | 1.38 Bn | 155.40 Mn | 86.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.70 Mn |
| Mar 31, 2026 | 61.70 Mn |
| Dec 31, 2025 | 67.50 Mn |
| Sep 30, 2025 | 67.20 Mn |
| Jun 30, 2025 | 55.10 Mn |
| Mar 31, 2025 | 39.00 Mn |
| Dec 31, 2024 | 44.60 Mn |
| Sep 30, 2024 | 38.90 Mn |
| Jun 30, 2024 | 38.80 Mn |
| Mar 31, 2024 | 29.90 Mn |
| Dec 31, 2023 | 34.40 Mn |
| Sep 30, 2023 | 34.30 Mn |
| Jun 30, 2023 | 44.90 Mn |
| Mar 31, 2023 | 48.20 Mn |
| Dec 31, 2022 | 28.50 Mn |
| Sep 30, 2022 | 20.00 Mn |
| Jun 30, 2022 | 23.50 Mn |
| Mar 31, 2022 | 14.60 Mn |
| Dec 31, 2021 | 15.40 Mn |
| Sep 30, 2021 | 54.10 Mn |
API Access
Global Industrial Cash & Equivalents 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-and-equivalents&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();