Gee (JOB) Return on Capital Employed [ROCE] (2011 - 2025)
Gee's Return on Capital Employed [ROCE] came in at -46.26% for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 17.81 percentage points from -28.44% a year earlier but up 1.87 percentage points from the prior quarter.
Gee (JOB) Return on Capital Employed [ROCE] (2011 - 2025) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Gee's Return on Capital Employed [ROCE] was -36.02%, down 10.43 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last four fiscal years, with a five-year change of -22.73 percentage points (FY2020 to FY2025).
- Going back by fiscal year, Return on Capital Employed [ROCE] was -25.59% in FY2024 (-27.44 pp), 1.85% in FY2023 (-1.82 pp), 3.67% in FY2022 (-3.74 pp) and 7.40% in FY2021 (+20.70 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -66.90% (fiscal Q2 2025) to 7.70% (fiscal Q4 2021).
- Year-over-year, Return on Capital Employed [ROCE] has declined for 14 consecutive quarters, with an average year-over-year change of -27.14 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q4 2021 (a gain of 20.66 percentage points), and the weakest in fiscal Q2 2025 (a drop of 64.08 percentage points).
- Business Quant data shows JOB's Return on Capital Employed [ROCE] at -48.12% (Q4 2025), -48.39% (Q3 2025) and -66.90% (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -46.26% |
| Sep 30, 2025 | -48.12% |
| Jun 30, 2025 | -48.39% |
| Mar 31, 2025 | -66.90% |
| Dec 31, 2024 | -28.44% |
| Sep 30, 2024 | -29.56% |
| Jun 30, 2024 | -25.27% |
| Mar 31, 2024 | -2.82% |
| Dec 31, 2023 | -0.36% |
| Sep 30, 2023 | 1.81% |
| Jun 30, 2023 | 2.11% |
| Mar 31, 2023 | 3.86% |
| Dec 31, 2022 | 4.27% |
| Sep 30, 2022 | 3.66% |
| Jun 30, 2022 | 6.01% |
| Mar 31, 2022 | 4.93% |
| Dec 31, 2021 | 4.37% |
| Sep 30, 2021 | 7.70% |
| Jun 30, 2021 | -5.76% |
| Mar 31, 2021 | -9.21% |
Gee Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();