HireQuest (HQI) Total Liabilities (2010 - 2026)
HireQuest (HQI) posted Total Liabilities of $24.52 million for Q2 2026, down 13.4% from $28.29 million a year earlier but up 3.0% from the prior quarter.
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Analysis
HireQuest (HQI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, HireQuest's Total Liabilities came in at $19.91 million, down 31.8% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In prior years, HireQuest's Total Liabilities was $29.21 million in FY2024 (-28.9%), $41.09 million in FY2023 (-8.7%), $45.03 million in FY2022 (+47.1%) and $30.62 million in FY2021 (+140.5%).
- Quarterly Total Liabilities has run from a low of $19.91 million in Q4 2025 to a high of $50.14 million in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last 11 quarters, with an average decline of 24.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 140.5%; the weakest was Q1 2025, with a decline of 33.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $23.8 million (Q1 2026), $19.91 million (Q4 2025) and $27.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | HireQuest | 274.25 Mn | 266.59 Mn | - | 24.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.52 Mn |
| Mar 31, 2026 | 23.80 Mn |
| Dec 31, 2025 | 19.91 Mn |
| Sep 30, 2025 | 27.12 Mn |
| Jun 30, 2025 | 28.29 Mn |
| Mar 31, 2025 | 28.17 Mn |
| Dec 31, 2024 | 29.21 Mn |
| Sep 30, 2024 | 39.75 Mn |
| Jun 30, 2024 | 42.20 Mn |
| Mar 31, 2024 | 42.07 Mn |
| Dec 31, 2023 | 41.09 Mn |
| Sep 30, 2023 | 42.24 Mn |
| Jun 30, 2023 | 45.76 Mn |
| Mar 31, 2023 | 50.14 Mn |
| Dec 31, 2022 | 45.03 Mn |
| Sep 30, 2022 | 33.88 Mn |
| Jun 30, 2022 | 38.01 Mn |
| Mar 31, 2022 | 38.32 Mn |
| Dec 31, 2021 | 30.62 Mn |
| Sep 30, 2021 | 29.64 Mn |
API Access
HireQuest Total 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-liabilities&ticker=HQI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HQI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();