Bgsf (BGSF) Property, Plant & Equipment (Net) (2012 - 2026)
Bgsf (BGSF) reported Property, Plant & Equipment (Net) of $259,000 for Q2 2026, down 13.4% from $299,000 a year earlier but up 18.8% from the prior quarter.
Bgsf (BGSF) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, Bgsf posted Property, Plant & Equipment (Net) of $244,000, down 59.9% from FY2024.
- Property, Plant & Equipment (Net) has declined for four consecutive years, with a five-year compound annual growth rate of -41.2% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $608,000 in FY2024 (-50.0%), $1.22 million in FY2023 (-41.5%), $2.08 million in FY2022 (-52.0%) and $4.33 million in FY2021 (+25.0%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $1,204 in Q3 2024 and a high of $4.33 million in Q4 2021.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last three quarters, with an average decline of 45.0% over the last five quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 25.0%); the low point was Q1 2026 (a decline of 77.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $218,000 (Q1 2026), $244,000 (Q4 2025) and $279,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 1.62 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.74 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 10.27 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 429.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 1.74 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 126.69 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 766.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 199.25 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 443.00 Mn |
| 10 | Bgsf | 55.97 Mn | -41.34 Mn | 7.92 Mn | 259,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 259,000.00 |
| Mar 29, 2026 | 218,000.00 |
| Dec 28, 2025 | 244,000.00 |
| Sep 28, 2025 | 279,000.00 |
| Jun 29, 2025 | 299,000.00 |
| Mar 30, 2025 | 947,000.00 |
| Dec 29, 2024 | 608,000.00 |
| Sep 29, 2024 | 1,204.00 |
| Jun 30, 2024 | 1,284.00 |
| Mar 31, 2024 | 1,255.00 |
| Dec 31, 2023 | 1.22 Mn |
| Oct 1, 2023 | 1,603.00 |
| Jul 2, 2023 | 1,623.00 |
| Apr 2, 2023 | 1,249.00 |
| Jan 1, 2023 | 2.08 Mn |
| Sep 25, 2022 | 1.60 Mn |
| Jun 26, 2022 | 6.34 Mn |
| Mar 27, 2022 | 6.22 Mn |
| Dec 26, 2021 | 4.33 Mn |
| Sep 26, 2021 | 3.05 Mn |
Bgsf Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BGSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();