Gee (JOB) EBITDA (2009 - 2026)
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 (2009 - 2026) 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 | 172.92 Bn | 132.01 Bn | 5.98 Bn | 3.47 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 711.62 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 256.13 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 306.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 211.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 327.51 Mn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 470,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 470,000.00 |
| Mar 31, 2026 | 46,000.00 |
| 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 |
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();