Bgsf (BGSF) EPS (Diluted) (2012 - 2026)
Bgsf (BGSF) recorded EPS (Diluted) of -$0.08 in Q2 2026, compared with -$0.34 a year earlier.
Analysis
Bgsf (BGSF) EPS (Diluted) (2012 - 2026) Analysis & Trends
On a TTM basis, Bgsf's EPS (Diluted) came in at -$0.78 as of Jun 28, 2026; for FY2025, it was -$1.04.
- Across earlier years, EPS (Diluted) came in at -$0.31 in FY2024, -$0.95 in FY2023, $2.42 in FY2022 (+78.8%) and $1.35 in FY2021 (+871.4%).
- Quarterly EPS (Diluted) has ranged from -$1.54 in Q1 2023 to $0.51 in Q4 2021 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$0.04 (Q1 2026), -$0.11 (Q4 2025) and -$0.52 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.80 |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.26 |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 0.34 |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 0.20 |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 0.30 |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 0.36 |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.21 |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 4.14 |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Bgsf | 55.86 Mn | -41.45 Mn | 7.92 Mn | -0.08 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -0.08 |
| Mar 29, 2026 | -0.04 |
| Dec 28, 2025 | -0.11 |
| Sep 28, 2025 | -0.52 |
| Jun 29, 2025 | -0.34 |
| Mar 30, 2025 | -0.07 |
| Dec 29, 2024 | -0.09 |
| Sep 29, 2024 | -0.07 |
| Jun 30, 2024 | -0.07 |
| Mar 31, 2024 | -0.07 |
| Dec 31, 2023 | 0.09 |
| Oct 1, 2023 | 0.24 |
| Jul 2, 2023 | 0.24 |
| Apr 2, 2023 | -1.54 |
| Jan 1, 2023 | 0.17 |
| Sep 25, 2022 | 0.44 |
| Jun 26, 2022 | 0.30 |
| Mar 27, 2022 | 1.51 |
| Dec 26, 2021 | 0.51 |
| Sep 26, 2021 | 0.45 |
API Access
Bgsf EPS (Diluted) 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=eps-diluted&ticker=BGSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BGSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();