Gee (JOB) Enterprise Value (2010 - 2025)
Gee (JOB) recorded Enterprise Value of $1.73 million in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 47.2% from $3.28 million a year earlier but up 7.5% from the prior quarter.
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Analysis
Gee (JOB) Enterprise Value (2010 - 2025) Analysis & Trends
On a TTM basis, Gee's Enterprise Value came in at -$56.93 million as of Dec 31, 2025; for FY2025 (ended Sep 30, 2025), it was $1.61 million, down 78.8% from FY2024.
- Annual Enterprise Value has declined for three straight fiscal years, with a five-year compound annual growth rate of -14.8% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $7.62 million in FY2024 (-82.4%), $43.31 million in FY2023 (-18.7%), $53.26 million in FY2022 (+197.1%) and $17.93 million in FY2021 (+398.9%).
- Quarterly Enterprise Value has ranged from $1.61 million in fiscal Q4 2025 to $53.26 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for 13 consecutive quarters, with an average decline of 69.4% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 494.0% in fiscal Q2 2022, against a decline of 90.5% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.61 million (Q4 2025), $3.26 million (Q3 2025) and $3.21 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.73 Mn |
| Sep 30, 2025 | 1.61 Mn |
| Jun 30, 2025 | 3.26 Mn |
| Mar 31, 2025 | 3.21 Mn |
| Dec 31, 2024 | 3.28 Mn |
| Sep 30, 2024 | 7.62 Mn |
| Jun 30, 2024 | 14.12 Mn |
| Mar 31, 2024 | 17.96 Mn |
| Dec 31, 2023 | 34.48 Mn |
| Sep 30, 2023 | 43.31 Mn |
| Jun 30, 2023 | 36.98 Mn |
| Mar 31, 2023 | 27.97 Mn |
| Dec 31, 2022 | 37.61 Mn |
| Sep 30, 2022 | 53.26 Mn |
| Jun 30, 2022 | 41.79 Mn |
| Mar 31, 2022 | 48.58 Mn |
| Dec 31, 2021 | 52.91 Mn |
| Sep 30, 2021 | 17.93 Mn |
| Jun 30, 2021 | 45.28 Mn |
| Mar 31, 2021 | 8.18 Mn |
API Access
Gee Enterprise Value 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=enterprise-value&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();