Gee (JOB) Cost of Revenue (2010 - 2025)
Gee (JOB) reported Cost of Revenue of $13.11 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 18.6% from $16.1 million a year earlier and down 12.9% from the prior quarter.
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Analysis
Gee (JOB) Cost of Revenue (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, Gee's Cost of Revenue came in at $60.14 million, down 11.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $63.13 million, down 10.8% from FY2024.
- Cost of Revenue has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $70.79 million in FY2024 (-28.9%), $99.57 million in FY2023 (-3.7%), $103.43 million in FY2022 (+7.4%) and $96.34 million in FY2021 (+13.2%).
- The fiscal Q1 2026 figure ranks as the lowest quarterly Cost of Revenue since fiscal Q1 2016.
- Year over year, Cost of Revenue has now declined in each of the last 11 quarters, with an average decline of 19.4% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2021 (growth of 43.2%); the low point was fiscal Q2 2024 (a decline of 32.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at $15.06 million (Q4 2025), $15.84 million (Q3 2025) and $16.14 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 1.42 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.63 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 508.63 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 399.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13.11 Mn |
| Sep 30, 2025 | 15.06 Mn |
| Jun 30, 2025 | 15.84 Mn |
| Mar 31, 2025 | 16.14 Mn |
| Dec 31, 2024 | 16.10 Mn |
| Sep 30, 2024 | 16.98 Mn |
| Jun 30, 2024 | 17.82 Mn |
| Mar 31, 2024 | 17.20 Mn |
| Dec 31, 2023 | 20.90 Mn |
| Sep 30, 2023 | 22.65 Mn |
| Jun 30, 2023 | 24.52 Mn |
| Mar 31, 2023 | 25.64 Mn |
| Dec 31, 2022 | 26.76 Mn |
| Sep 30, 2022 | 26.44 Mn |
| Jun 30, 2022 | 24.61 Mn |
| Mar 31, 2022 | 25.12 Mn |
| Dec 31, 2021 | 27.27 Mn |
| Sep 30, 2021 | 26.22 Mn |
| Jun 30, 2021 | 24.24 Mn |
| Mar 31, 2021 | 23.81 Mn |
API Access
Gee Cost of Revenue 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=cost-of-revenue&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();