Global Industrial (GIC) Change in Receivables (2010 - 2026)
Global Industrial's Change in Receivables was $37.9 million in Q2 2026, up 210.7% from $12.2 million a year earlier and up 244.5% from the prior quarter.
Global Industrial (GIC) Change in Receivables (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Industrial's Change in Receivables was $31.9 million through Jun 30, 2026, up 136.3% year-over-year; for FY2025, it was $12.3 million.
- Change in Receivables shows a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- In earlier years, Change in Receivables was -$1.6 million in FY2024, $2.6 million in FY2023 (-21.2%), $3.3 million in FY2022 (-55.4%) and $7.4 million in FY2021 (-50.7%).
- The Q2 2026 figure marks the highest quarterly Change in Receivables since Q1 2014.
- Compared with a year earlier, Change in Receivables was higher in three of the last four quarters, with growth averaging 128.2%.
- The best year-over-year quarter for Change in Receivables over five years was Q1 2022 (growth of 350.0%); the worst was Q1 2023 (a decline of 50.8%).
- Per Business Quant data, GIC's Change in Receivables in the three quarters before Q2 2026 was $11 million (Q1 2026), -$9.6 million (Q4 2025) and -$7.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 207.00 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 116.00 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 275.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 244.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 257.10 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 424.90 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | - |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 199.04 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 39.90 Mn |
| 10 | Global Industrial | 1.60 Bn | 1.32 Bn | 155.40 Mn | 37.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.90 Mn |
| Mar 31, 2026 | 11.00 Mn |
| Dec 31, 2025 | -9.60 Mn |
| Sep 30, 2025 | -7.40 Mn |
| Jun 30, 2025 | 12.20 Mn |
| Mar 31, 2025 | 17.10 Mn |
| Dec 31, 2024 | -13.10 Mn |
| Sep 30, 2024 | -2.70 Mn |
| Jun 30, 2024 | 10.10 Mn |
| Mar 31, 2024 | 4.10 Mn |
| Dec 31, 2023 | -11.90 Mn |
| Sep 30, 2023 | -2.40 Mn |
| Jun 30, 2023 | 10.70 Mn |
| Mar 31, 2023 | 6.20 Mn |
| Dec 31, 2022 | -19.80 Mn |
| Sep 30, 2022 | -6.40 Mn |
| Jun 30, 2022 | 16.90 Mn |
| Mar 31, 2022 | 12.60 Mn |
| Dec 31, 2021 | -11.70 Mn |
| Sep 30, 2021 | 9.10 Mn |
Global Industrial Change in Receivables 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=change-in-receivables&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();