Gee (JOB) Operating Leases (2019 - 2025)
Gee (JOB) posted Operating Leases of $2.97 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), up 44.2% from $2.06 million a year earlier and up 62.5% from the prior quarter.
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Analysis
Gee (JOB) Operating Leases (2019 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Gee's Operating Leases came in at $1.83 million, down 18.9% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- In prior fiscal years, Gee's Operating Leases was $2.25 million in FY2024 (-8.7%), $2.47 million in FY2023 (+30.8%), $1.89 million in FY2022 (-37.2%) and $3.01 million in FY2021 (-23.5%).
- The fiscal Q1 2026 figure stands as the highest quarterly Operating Leases since fiscal Q4 2021.
- On a year-over-year basis, Operating Leases increased in three of the last eight quarters, with an average decline of 3.7%.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q1 2026, with growth of 44.2%; the weakest was fiscal Q4 2022, with a decline of 37.2%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $1.83 million (Q4 2025), $2.05 million (Q3 2025) and $2.24 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 | 2.97 Mn |
| Sep 30, 2025 | 1.83 Mn |
| Jun 30, 2025 | 2.05 Mn |
| Mar 31, 2025 | 2.24 Mn |
| Dec 31, 2024 | 2.06 Mn |
| Sep 30, 2024 | 2.25 Mn |
| Jun 30, 2024 | 1.80 Mn |
| Mar 31, 2024 | 2.00 Mn |
| Dec 31, 2023 | 2.19 Mn |
| Sep 30, 2023 | 2.47 Mn |
| Jun 30, 2023 | 2.82 Mn |
| Mar 31, 2023 | 2.87 Mn |
| Dec 31, 2022 | 2.05 Mn |
| Sep 30, 2022 | 1.89 Mn |
| Jun 30, 2022 | 2.20 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 3.01 Mn |
| Jun 30, 2021 | 2.87 Mn |
| Mar 31, 2021 | 3.25 Mn |
API Access
Gee Operating Leases 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=operating-leases&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();