Bgsf (BGSF) Accumulated Expenses (2012 - 2026)
Bgsf's Accumulated Expenses was $4.72 million in Q2 2026, down 33.5% from $7.09 million a year earlier but up 2.1% from the prior quarter.
Analysis
Bgsf (BGSF) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Bgsf came in at $4.44 million, down 8.8% from FY2024.
- Accumulated Expenses has now declined for three consecutive years, with a five-year compound annual growth rate of -15.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $4.87 million in FY2024 (-67.3%), $14.9 million in FY2023 (-22.3%), $19.17 million in FY2022 (+18.7%) and $16.15 million in FY2021 (+55.7%).
- Quarterly Accumulated Expenses has moved between $14,004 (Q2 2024) and $19.17 million (Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with an average decline of 38.1% over the last five quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 55.7%); the worst was Q4 2024 (a decline of 67.3%).
- Per Business Quant data, BGSF's Accumulated Expenses in the three quarters before Q2 2026 was $4.62 million (Q1 2026), $4.44 million (Q4 2025) and $5.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Bgsf | 55.07 Mn | -42.24 Mn | 7.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.72 Mn |
| Mar 29, 2026 | 4.62 Mn |
| Dec 28, 2025 | 4.44 Mn |
| Sep 28, 2025 | 5.35 Mn |
| Jun 29, 2025 | 7.09 Mn |
| Mar 30, 2025 | 13.54 Mn |
| Dec 29, 2024 | 4.87 Mn |
| Sep 29, 2024 | 15,361.00 |
| Jun 30, 2024 | 14,004.00 |
| Mar 31, 2024 | 14,879.00 |
| Dec 31, 2023 | 14.90 Mn |
| Oct 1, 2023 | 18,068.00 |
| Jul 2, 2023 | 17,286.00 |
| Apr 2, 2023 | 16,157.00 |
| Jan 1, 2023 | 19.17 Mn |
| Sep 25, 2022 | 16.56 Mn |
| Jun 26, 2022 | 15.64 Mn |
| Mar 27, 2022 | 15.49 Mn |
| Dec 26, 2021 | 16.15 Mn |
| Sep 26, 2021 | 15.52 Mn |
API Access
Bgsf Accumulated Expenses 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=accumulated-expenses&ticker=BGSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();