Gee (JOB) EBITDA Margin (2011 - 2025)
Gee (JOB) reported EBITDA Margin of -1.48% for fiscal Q1 2026 (quarter ended Dec 31, 2025), up 0.65 percentage points from -2.13% a year earlier and up 0.76 percentage points from the prior quarter.
Gee (JOB) EBITDA Margin (2011 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Gee's EBITDA Margin came in at -25.85%, down 3.76 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was -25.13%, down 3.58 percentage points from FY2024.
- EBITDA Margin has declined for four consecutive fiscal years, with a five-year change of -18.54 percentage points (FY2020 to FY2025).
- By fiscal year, EBITDA Margin came in at -21.54% in FY2024 (-25.02 pp), 3.47% in FY2023 (-1.14 pp), 4.61% in FY2022 (-2.70 pp) and 7.31% in FY2021 (+13.90 pp).
- Five-year quarterly EBITDA Margin spans a low of -93.66% in fiscal Q2 2025 and a high of 8.86% in fiscal Q3 2022.
- Year over year, EBITDA Margin has now increased in each of the last three quarters, with an average year-over-year change of -13.17 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q3 2025 (a gain of 72.56 percentage points); the low point was fiscal Q2 2025 (a drop of 89.16 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at -2.24% (Q4 2025), -1.10% (Q3 2025) and -93.66% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 20.09% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 27.67% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 32.67% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 11.71% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 21.79% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 6.95% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 24.02% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 25.28% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.48% |
| Sep 30, 2025 | -2.24% |
| Jun 30, 2025 | -1.10% |
| Mar 31, 2025 | -93.66% |
| Dec 31, 2024 | -2.13% |
| Sep 30, 2024 | -4.31% |
| Jun 30, 2024 | -73.66% |
| Mar 31, 2024 | -4.50% |
| Dec 31, 2023 | -2.84% |
| Sep 30, 2023 | 0.88% |
| Jun 30, 2023 | 4.98% |
| Mar 31, 2023 | 3.89% |
| Dec 31, 2022 | 3.85% |
| Sep 30, 2022 | 1.48% |
| Jun 30, 2022 | 8.86% |
| Mar 31, 2022 | 5.77% |
| Dec 31, 2021 | 2.50% |
| Sep 30, 2021 | 8.09% |
| Jun 30, 2021 | 7.13% |
| Mar 31, 2021 | 4.98% |
Gee EBITDA 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=ebitda-margin&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();