Gee (JOB) EBITDA Margin (2009 - 2026)
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 (2009 - 2026) 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 | 172.92 Bn | 132.01 Bn | 5.98 Bn | 18.56% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 27.84% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 35.75% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 23.51% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 11.98% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 25.64% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 6.95% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 21.76% |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 2.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26% |
| Mar 31, 2026 | 0.24% |
| Dec 31, 2025 | -1.29% |
| Sep 30, 2025 | -2.08% |
| Jun 30, 2025 | -0.94% |
| Mar 31, 2025 | -93.50% |
| Dec 31, 2024 | -1.97% |
| Sep 30, 2024 | -4.17% |
| Jun 30, 2024 | -73.51% |
| Mar 31, 2024 | -4.35% |
| Dec 31, 2023 | -2.72% |
| Sep 30, 2023 | 0.99% |
| Jun 30, 2023 | 5.08% |
| Mar 31, 2023 | 3.99% |
| Dec 31, 2022 | 3.94% |
| Sep 30, 2022 | 1.57% |
| Jun 30, 2022 | 8.95% |
| Mar 31, 2022 | 5.86% |
| Dec 31, 2021 | 2.59% |
| Sep 30, 2021 | 8.19% |
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();