HireQuest (HQI) Operating Expenses (2010 - 2026)
HireQuest's Operating Expenses was $3.99 million in Q2 2026, down 41.2% from $6.79 million a year earlier and down 6.4% from the prior quarter.
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Analysis
HireQuest (HQI) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, HireQuest's Operating Expenses was $18.22 million through Jun 30, 2026, down 18.7% year-over-year; for FY2025, it came in at $22.07 million, up 2.5% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $21.54 million in FY2024 (-20.1%), $26.96 million in FY2023 (+106.2%), $13.08 million in FY2022 (-2.9%) and $13.47 million in FY2021 (+52.5%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q3 2022.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with an average decline of 10.9% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2023 (growth of 201.0%); the worst was Q2 2026 (a decline of 41.2%).
- Per Business Quant data, HQI's Operating Expenses in the three quarters before Q2 2026 was $4.27 million (Q1 2026), $4.6 million (Q4 2025) and $5.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.46 Bn | 106.74 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 87.46 Bn | 86.54 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.78 Bn | 32.97 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.11 Bn | 15.66 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 15.11 Bn | 13.87 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Gartner | 14.67 Bn | 8.36 Bn | 1.19 Bn | 1.30 Bn |
| 8 | Aramark | 14.63 Bn | 12.57 Bn | 430.34 Mn | 4.84 Bn |
| 9 | Rentokil Initial | 10.65 Bn | 4.17 Bn | - | - |
| 10 | HireQuest | 230.92 Mn | 223.26 Mn | - | 3.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.99 Mn |
| Mar 31, 2026 | 4.27 Mn |
| Dec 31, 2025 | 4.60 Mn |
| Sep 30, 2025 | 5.35 Mn |
| Jun 30, 2025 | 6.79 Mn |
| Mar 31, 2025 | 5.15 Mn |
| Dec 31, 2024 | 4.98 Mn |
| Sep 30, 2024 | 5.48 Mn |
| Jun 30, 2024 | 5.29 Mn |
| Mar 31, 2024 | 5.63 Mn |
| Dec 31, 2023 | 6.62 Mn |
| Sep 30, 2023 | 6.35 Mn |
| Jun 30, 2023 | 5.63 Mn |
| Mar 31, 2023 | 5.84 Mn |
| Dec 31, 2022 | 4.72 Mn |
| Sep 30, 2022 | 2.11 Mn |
| Jun 30, 2022 | 3.22 Mn |
| Mar 31, 2022 | 2.66 Mn |
| Dec 31, 2021 | 4.40 Mn |
| Sep 30, 2021 | 3.04 Mn |
API Access
HireQuest 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=HQI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HQI", "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=HQI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();