Gee (JOB) EBITDA (2011 - 2025)
Gee (JOB) reported EBITDA of -$303,000 for fiscal Q1 2026 (quarter ended Dec 31, 2025), compared with -$511,000 a year earlier.
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Analysis
Gee (JOB) EBITDA (2011 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Gee's EBITDA came in at -$24.04 million; for FY2025 (ended Sep 30, 2025), it was -$24.25 million.
- By fiscal year, EBITDA came in at -$23.04 million in FY2024, $5.3 million in FY2023 (-30.5%), $7.62 million in FY2022 (-30.1%) and $10.89 million in FY2021.
- Five-year quarterly EBITDA spans a low of -$22.94 million in fiscal Q2 2025 and a high of $3.64 million in fiscal Q3 2022.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2023 (growth of 47.5%); the low point was fiscal Q4 2022 (a decline of 81.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at -$525,000 (Q4 2025), -$270,000 (Q3 2025) and -$22.94 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.91 Bn | 105.19 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 87.95 Bn | 87.03 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 34.55 Bn | 33.74 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.47 Bn | 14.51 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 16.16 Bn | 15.70 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 15.12 Bn | 13.88 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.73 Bn | 12.68 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 14.49 Bn | 8.18 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.64 Bn | 4.15 Bn | - | - |
| 10 | Gee | 22.59 Mn | 22.59 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -265,000.00 |
| Sep 30, 2025 | -487,000.00 |
| Jun 30, 2025 | -231,000.00 |
| Mar 31, 2025 | -22.90 Mn |
| Dec 31, 2024 | -473,000.00 |
| Sep 30, 2024 | -1.09 Mn |
| Jun 30, 2024 | -19.88 Mn |
| Mar 31, 2024 | -1.11 Mn |
| Dec 31, 2023 | -832,000.00 |
| Sep 30, 2023 | 339,000.00 |
| Jun 30, 2023 | 1.94 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 1.62 Mn |
| Sep 30, 2022 | 653,000.00 |
| Jun 30, 2022 | 3.68 Mn |
| Mar 31, 2022 | 2.32 Mn |
| Dec 31, 2021 | 1.11 Mn |
| Sep 30, 2021 | 3.39 Mn |
| Jun 30, 2021 | 2.73 Mn |
| Mar 31, 2021 | 2.17 Mn |
API Access
Gee EBITDA 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&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();