Bgsf (BGSF) Total Liabilities (2012 - 2026)
Bgsf's Total Liabilities was $6.88 million in Q2 2026, down 90.4% from $71.41 million a year earlier but up 7.8% from the prior quarter.
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Analysis
Bgsf (BGSF) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Bgsf came in at $9.73 million, down 85.7% from FY2024.
- Total Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -31.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $67.84 million in FY2024 (-27.0%), $92.98 million in FY2023 (-1.0%), $93.94 million in FY2022 (+31.0%) and $71.7 million in FY2021 (+10.6%).
- Quarterly Total Liabilities has moved between -$83.38 million (Q1 2024) and $93.94 million (Q4 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 73.5% over the last four quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 31.0%); the worst was Q1 2026 (a decline of 90.9%).
- Per Business Quant data, BGSF's Total Liabilities in the three quarters before Q2 2026 was $6.39 million (Q1 2026), $9.73 million (Q4 2025) and $32.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.64 Bn | 104.92 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 87.94 Bn | 87.02 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 34.32 Bn | 33.51 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.47 Bn | 14.51 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.19 Bn | 15.73 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 15.12 Bn | 13.88 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.67 Bn | 12.62 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.49 Bn | 8.18 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.68 Bn | 4.19 Bn | - | - |
| 10 | Bgsf | 42.13 Mn | -55.18 Mn | 7.92 Mn | 6.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.88 Mn |
| Mar 29, 2026 | 6.39 Mn |
| Dec 28, 2025 | 9.73 Mn |
| Sep 28, 2025 | 32.89 Mn |
| Jun 29, 2025 | 71.41 Mn |
| Mar 30, 2025 | 70.44 Mn |
| Dec 29, 2024 | 67.84 Mn |
| Sep 29, 2024 | -82.79 Mn |
| Jun 30, 2024 | -83.00 Mn |
| Mar 31, 2024 | -83.38 Mn |
| Dec 31, 2023 | 92.98 Mn |
| Oct 1, 2023 | 97,758.00 |
| Jul 2, 2023 | 98,050.00 |
| Apr 2, 2023 | 88,723.00 |
| Jan 1, 2023 | 93.94 Mn |
| Sep 25, 2022 | 149.17 Mn |
| Jun 26, 2022 | 135.87 Mn |
| Mar 27, 2022 | 135.43 Mn |
| Dec 26, 2021 | 71.70 Mn |
| Sep 26, 2021 | 72.07 Mn |
API Access
Bgsf 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=BGSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BGSF", "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=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();