Gee (JOB) EBIT Margin (2009 - 2026)
Gee's EBIT Margin was -1.99% in 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) EBIT Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gee's EBIT Margin was -26.83% through Dec 31, 2025, down 2.67 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was -26.23%, down 2.19 percentage points from FY2024.
- EBIT Margin has now declined for four consecutive fiscal years, with a five-year change of -15.57 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBIT Margin was -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 marks the highest quarterly EBIT Margin since fiscal Q4 2023.
- Compared with a year earlier, EBIT Margin has increased for three straight quarters, with an average year-over-year change of -12.50 percentage points over the last eight quarters.
- The best year-over-year quarter for EBIT Margin over five years was fiscal Q3 2025 (a gain of 74.38 percentage points); the worst was fiscal Q2 2025 (a drop of 87.18 percentage points).
- Per Business Quant data, JOB's EBIT Margin in the three fiscal quarters before Q1 2026 was -3.29% (Q4 2025), -2.22% (Q3 2025) and -94.79% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.33% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 23.62% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 20.63% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 20.45% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 7.91% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 19.68% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.26% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 18.68% |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 1.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.82% |
| Mar 31, 2026 | -0.29% |
| 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% |
Gee EBIT 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=ebit-margin&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();