Bgsf (BGSF) EV to EBITDA (2014 - 2024)
Bgsf's (BGSF) EV to EBITDA was 17.98 for Q3 2024, down 99.9% from 35621.94 a year earlier but up 2.9% from the prior quarter.
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Analysis
Bgsf (BGSF) EV to EBITDA (2014 - 2024) Analysis & Trends
For FY2023, EV to EBITDA at Bgsf was 23.26, up 186.7% from FY2022.
- By year, EV to EBITDA came in at 8.11 in FY2022 (+1.4%), 8.00 in FY2021 (-77.4%), 35.44 in FY2020 (+218.3%) and 11.13 in FY2019 (+57.7%).
- Five-year quarterly EV to EBITDA spans a low of 4.72 in Q1 2020 and a high of 130420.29 in Q2 2023.
- The high point for year-over-year EV to EBITDA in five years was Q4 2020 (growth of 218.3%); the low point was Q2 2024 (a decline of 100.0%).
- Per Business Quant data, the three quarters before Q3 2024 came in at 17.47 (Q2 2024), 16.63 (Q1 2024) and 23.26 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 147.78 Bn | 107.06 Bn | 6.13 Bn |
| 2 | Cintas | 87.70 Bn | 86.78 Bn | 1.55 Bn |
| 3 | Iron Mountain | 34.02 Bn | 33.21 Bn | 1.07 Bn |
| 4 | APi | 17.48 Bn | 14.52 Bn | 703.00 Mn |
| 5 | Rollins | 16.12 Bn | 15.66 Bn | 569.95 Mn |
| 6 | UL Solutions | 15.13 Bn | 13.89 Bn | 417.00 Mn |
| 7 | Gartner | 14.69 Bn | 8.38 Bn | 1.19 Bn |
| 8 | Aramark | 14.68 Bn | 12.62 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - |
| 10 | Bgsf | 42.29 Mn | -55.02 Mn | 7.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2024 | 16.72 |
| Jun 30, 2024 | 16.58 |
| Mar 31, 2024 | 16.05 |
| Dec 31, 2023 | 22.25 |
| Oct 1, 2023 | 33,942.75 |
| Jul 2, 2023 | 116,847.14 |
| Sep 25, 2022 | 17.85 |
| Jun 26, 2022 | 10.01 |
| Mar 27, 2022 | 7.78 |
| Dec 26, 2021 | 7.97 |
| Sep 26, 2021 | 12.56 |
| Jun 27, 2021 | 13.57 |
| Mar 28, 2021 | 244.37 |
| Dec 27, 2020 | 34.66 |
| Sep 27, 2020 | 17.88 |
| Jun 28, 2020 | 13.84 |
| Mar 29, 2020 | 4.69 |
| Dec 29, 2019 | 11.04 |
| Sep 29, 2019 | 7.24 |
| Jun 30, 2019 | 6.94 |
API Access
Bgsf EV to EBITDA 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=ev-to-ebitda&ticker=BGSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();