Bgsf (BGSF) Gains from Sales and Divestitures (2014 - 2025)
Bgsf (BGSF) recorded Gains from Sales and Divestitures of -$831,000 in Q4 2025.
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Analysis
Bgsf (BGSF) Gains from Sales and Divestitures (2014 - 2025) Analysis & Trends
For FY2025, Bgsf reported Gains from Sales and Divestitures of -$3.72 million.
- Across earlier years, Gains from Sales and Divestitures came in at -$3,000 in FY2024, -$10,000 in FY2023, $17.68 million in FY2022 and -$8,000 in FY2021.
- Quarterly Gains from Sales and Divestitures has ranged from -$2.89 million in Q3 2025 to $8,000 in Q2 2024 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Bgsf | 55.97 Mn | -41.34 Mn | 7.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | -831,000.00 |
| Sep 28, 2025 | -2.89 Mn |
| Mar 30, 2025 | -6,000.00 |
| Sep 29, 2024 | -3,000.00 |
| Jun 30, 2024 | 8,000.00 |
| Mar 31, 2024 | -8,000.00 |
| Dec 31, 2023 | -10,000.00 |
| Mar 27, 2022 | 17,273.00 |
| Dec 26, 2021 | 197.00 |
| Sep 26, 2021 | -8,197.00 |
| Dec 29, 2019 | -23,813.00 |
| Sep 29, 2019 | -2,059.00 |
| Dec 30, 2018 | -2,211.00 |
| Sep 30, 2018 | -15,554.00 |
| Sep 24, 2017 | 531.00 |
| Jun 25, 2017 | -17,904.00 |
| Sep 25, 2016 | -17,768.00 |
| Mar 27, 2016 | 7,576.00 |
| Sep 27, 2015 | -1,150.00 |
| Jun 28, 2015 | -230.00 |
API Access
Bgsf Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=BGSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();