Gee (JOB) EPS (Diluted) (2011 - 2025)
Gee (JOB) reported EPS (Diluted) of $0.00 for fiscal Q1 2026 (quarter ended Dec 31, 2025), compared with -$0.01 a year earlier.
Powered by 
Analysis
Gee (JOB) EPS (Diluted) (2011 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Gee's EPS (Diluted) came in at -$0.31; for FY2025 (ended Sep 30, 2025), it came in at -$0.32.
- By fiscal year, EPS (Diluted) came in at -$0.22 in FY2024, $0.08 in FY2023 (-51.9%), $0.17 in FY2022 and $0.00 in FY2021 (-100.0%).
- The fiscal Q1 2026 figure ranks as the highest quarterly EPS (Diluted) since fiscal Q4 2023.
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at $0.00 (Q4 2025), $0.00 (Q3 2025) and -$0.30 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 3.80 |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 1.36 |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 0.34 |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 0.20 |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 0.30 |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 1.21 |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 0.36 |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 4.14 |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | Gee | 22.59 Mn | 22.59 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | -0.30 |
| Dec 31, 2024 | -0.01 |
| Sep 30, 2024 | -0.02 |
| Jun 30, 2024 | -0.18 |
| Mar 31, 2024 | -0.01 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.07 |
| Mar 31, 2023 | 0.01 |
| Dec 31, 2022 | 0.01 |
| Sep 30, 2022 | -0.01 |
| Jun 30, 2022 | 0.02 |
| Mar 31, 2022 | 0.01 |
| Dec 31, 2021 | 0.14 |
| Sep 30, 2021 | 0.05 |
| Jun 30, 2021 | -0.01 |
| Mar 31, 2021 | -0.10 |
API Access
Gee 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=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "JOB", "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=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();