Global Industrial (GIC) Total Current Liabilities (2010 - 2026)
Global Industrial's Total Current Liabilities came in at $200.3 million for Q2 2026, up 6.9% from $187.3 million a year earlier and up 13.2% from the prior quarter.
Global Industrial (GIC) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Global Industrial's Total Current Liabilities was $178.5 million, up 6.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $168.4 million in FY2024 (-3.3%), $174.2 million in FY2023 (+13.8%), $153.1 million in FY2022 (-14.9%) and $179.9 million in FY2021 (-3.5%).
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q2 2023.
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 0.1%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 15.3%), and the weakest in Q1 2023 (a decline of 24.8%).
- Business Quant data shows GIC's Total Current Liabilities at $177 million (Q1 2026), $178.5 million (Q4 2025) and $184.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 2.14 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 881.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 5.70 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 2.72 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 1.15 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 5.14 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 612.41 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.08 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 1.38 Bn |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | 200.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.30 Mn |
| Mar 31, 2026 | 177.00 Mn |
| Dec 31, 2025 | 178.50 Mn |
| Sep 30, 2025 | 184.70 Mn |
| Jun 30, 2025 | 187.30 Mn |
| Mar 31, 2025 | 180.40 Mn |
| Dec 31, 2024 | 168.40 Mn |
| Sep 30, 2024 | 178.00 Mn |
| Jun 30, 2024 | 195.80 Mn |
| Mar 31, 2024 | 176.90 Mn |
| Dec 31, 2023 | 174.20 Mn |
| Sep 30, 2023 | 195.00 Mn |
| Jun 30, 2023 | 231.30 Mn |
| Mar 31, 2023 | 155.80 Mn |
| Dec 31, 2022 | 153.10 Mn |
| Sep 30, 2022 | 180.10 Mn |
| Jun 30, 2022 | 219.40 Mn |
| Mar 31, 2022 | 207.10 Mn |
| Dec 31, 2021 | 179.90 Mn |
| Sep 30, 2021 | 200.80 Mn |
Global Industrial Total Current Liabilities 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=total-current-liabilities&ticker=GIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();