Bgsf (BGSF) Total Non-Current Liabilities (2012 - 2026)
Bgsf (BGSF) recorded Total Non-Current Liabilities of $6.65 million in Q2 2026, down 90.6% from $70.9 million a year earlier but up 8.4% from the prior quarter.
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Analysis
Bgsf (BGSF) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Bgsf reported Total Non-Current Liabilities of $9.43 million, down 86.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for three straight years, with a five-year compound annual growth rate of -30.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $67.84 million in FY2024 (-23.7%), $88.87 million in FY2023 (-5.4%), $93.93 million in FY2022 (+37.9%) and $68.14 million in FY2021 (+18.6%).
- Quarterly Total Non-Current Liabilities has ranged from -$83.39 million in Q1 2024 to $93.93 million in Q4 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 72.8% over the last four quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 37.9% in Q4 2022, against a decline of 90.8% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.14 million (Q1 2026), $9.43 million (Q4 2025) and $32.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | -6.00 Mn |
| 10 | Bgsf | 57.78 Mn | -39.53 Mn | 7.92 Mn | 6.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.65 Mn |
| Mar 29, 2026 | 6.14 Mn |
| Dec 28, 2025 | 9.43 Mn |
| Sep 28, 2025 | 32.48 Mn |
| Jun 29, 2025 | 70.90 Mn |
| Mar 30, 2025 | 66.99 Mn |
| Dec 29, 2024 | 67.84 Mn |
| Sep 29, 2024 | -82.79 Mn |
| Jun 30, 2024 | -83.01 Mn |
| Mar 31, 2024 | -83.39 Mn |
| Dec 31, 2023 | 88.87 Mn |
| Oct 1, 2023 | 94,449.00 |
| Jul 2, 2023 | 94,866.00 |
| Apr 2, 2023 | 86,061.00 |
| Jan 1, 2023 | 93.93 Mn |
| Sep 25, 2022 | 149.15 Mn |
| Jun 26, 2022 | 135.86 Mn |
| Mar 27, 2022 | 134.41 Mn |
| Dec 26, 2021 | 68.14 Mn |
| Sep 26, 2021 | 68.45 Mn |
API Access
Bgsf Total Non-Current 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-non-current-liabilities&ticker=BGSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();