Heritage Global (HGBL) Operating Expenses (2010 - 2026)
Heritage Global's Operating Expenses was $15 million in Q2 2026, up 23.5% from $12.15 million a year earlier and up 22.8% from the prior quarter.
Heritage Global (HGBL) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Heritage Global's Operating Expenses was $48.36 million through Jun 30, 2026, up 13.4% year-over-year; for FY2025, it came in at $45.39 million, up 16.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $38.98 million in FY2024 (-17.6%), $47.29 million in FY2023 (+10.6%), $42.77 million in FY2022 (+88.4%) and $22.7 million in FY2021 (-5.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2010.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 5.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 127.5%); the worst was Q3 2024 (a decline of 29.3%).
- Per Business Quant data, HGBL's Operating Expenses in the three quarters before Q2 2026 was $12.22 million (Q1 2026), $10.99 million (Q4 2025) and $10.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Heritage Global | 44.32 Mn | -20.38 Mn | 8.34 Mn | 15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.00 Mn |
| Mar 31, 2026 | 12.22 Mn |
| Dec 31, 2025 | 10.99 Mn |
| Sep 30, 2025 | 10.15 Mn |
| Jun 30, 2025 | 12.15 Mn |
| Mar 31, 2025 | 12.10 Mn |
| Dec 31, 2024 | 9.35 Mn |
| Sep 30, 2024 | 9.03 Mn |
| Jun 30, 2024 | 10.21 Mn |
| Mar 31, 2024 | 10.39 Mn |
| Dec 31, 2023 | 11.11 Mn |
| Sep 30, 2023 | 12.77 Mn |
| Jun 30, 2023 | 10.30 Mn |
| Mar 31, 2023 | 13.10 Mn |
| Dec 31, 2022 | 11.70 Mn |
| Sep 30, 2022 | 10.89 Mn |
| Jun 30, 2022 | 11.61 Mn |
| Mar 31, 2022 | 8.56 Mn |
| Dec 31, 2021 | 6.17 Mn |
| Sep 30, 2021 | 5.37 Mn |
Heritage Global Operating Expenses 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=operating-expenses&ticker=HGBL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HGBL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=HGBL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();