Spar (SGRP) Total Liabilities (2010 - 2026)
Spar's Total Liabilities came in at $49.73 million for Q2 2026, up 6.6% from $46.67 million a year earlier but down 2.4% from the prior quarter.
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Analysis
Spar (SGRP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Spar's Total Liabilities was $43.44 million, up 35.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $32.13 million in FY2024 (-35.8%), $50.04 million in FY2023 (-11.5%), $56.54 million in FY2022 (+9.4%) and $51.67 million in FY2021 (+13.8%).
- The five-year range for quarterly Total Liabilities is $32.13 million (Q4 2024) to $64.48 million (Q1 2024).
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2025 (growth of 35.2%), and the weakest in Q4 2024 (a decline of 35.8%).
- Business Quant data shows SGRP's Total Liabilities at $50.97 million (Q1 2026), $43.44 million (Q4 2025) and $45.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Spar | 19.31 Mn | 586,021.00 | 8.41 Mn | 49.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.73 Mn |
| Mar 31, 2026 | 50.97 Mn |
| Dec 31, 2025 | 43.44 Mn |
| Sep 30, 2025 | 45.08 Mn |
| Jun 30, 2025 | 46.67 Mn |
| Mar 31, 2025 | 45.46 Mn |
| Dec 31, 2024 | 32.13 Mn |
| Sep 30, 2024 | 37.86 Mn |
| Jun 30, 2024 | 39.33 Mn |
| Mar 31, 2024 | 64.48 Mn |
| Dec 31, 2023 | 50.04 Mn |
| Sep 30, 2023 | 54.25 Mn |
| Jun 30, 2023 | 53.50 Mn |
| Mar 31, 2023 | 55.49 Mn |
| Dec 31, 2022 | 56.54 Mn |
| Sep 30, 2022 | 64.34 Mn |
| Jun 30, 2022 | 60.27 Mn |
| Mar 31, 2022 | 56.38 Mn |
| Dec 31, 2021 | 51.67 Mn |
| Sep 30, 2021 | 56.49 Mn |
API Access
Spar 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=SGRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SGRP", "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=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();