Gee (JOB) Operating Margin (2011 - 2025)
Gee (JOB) reported Operating Margin of -1.99% for fiscal Q1 2026 (quarter ended Dec 31, 2025), up 1.22 percentage points from -3.22% a year earlier and up 1.30 percentage points from the prior quarter.
Gee (JOB) Operating Margin (2011 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Gee's Operating Margin came in at -26.83%, down 2.67 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -26.23%, down 2.19 percentage points from FY2024.
- Operating Margin has declined for four consecutive fiscal years, with a five-year change of -15.57 percentage points (FY2020 to FY2025).
- By fiscal year, Operating Margin came in at -24.03% in FY2024 (-25.37 pp), 1.33% in FY2023 (-0.95 pp), 2.29% in FY2022 (-2.07 pp) and 4.36% in FY2021 (+15.01 pp).
- The fiscal Q1 2026 figure ranks as the highest quarterly Operating Margin since fiscal Q4 2023.
- Year over year, Operating Margin has now increased in each of the last three quarters, with an average year-over-year change of -12.50 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was fiscal Q3 2025 (a gain of 74.38 percentage points); the low point was fiscal Q2 2025 (a drop of 87.18 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at -3.29% (Q4 2025), -2.22% (Q3 2025) and -94.79% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.99% |
| Sep 30, 2025 | -3.29% |
| Jun 30, 2025 | -2.22% |
| Mar 31, 2025 | -94.79% |
| Dec 31, 2024 | -3.22% |
| Sep 30, 2024 | -5.34% |
| Jun 30, 2024 | -76.59% |
| Mar 31, 2024 | -7.61% |
| Dec 31, 2023 | -5.47% |
| Sep 30, 2023 | -1.48% |
| Jun 30, 2023 | 2.84% |
| Mar 31, 2023 | 1.79% |
| Dec 31, 2022 | 1.85% |
| Sep 30, 2022 | -0.48% |
| Jun 30, 2022 | 6.87% |
| Mar 31, 2022 | 2.97% |
| Dec 31, 2021 | -0.06% |
| Sep 30, 2021 | 5.44% |
| Jun 30, 2021 | 4.26% |
| Mar 31, 2021 | 1.83% |
Gee Operating Margin 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=operating-margin&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();