Gee (JOB) Return on Sales [ROS] (2011 - 2025)
Gee (JOB) recorded Return on Sales [ROS] of -1.99% in fiscal Q1 2026 (quarter ended Dec 31, 2025), up 1.22 percentage points from -3.22% a year earlier and up 1.30 percentage points from the prior quarter.
Gee (JOB) Return on Sales [ROS] (2011 - 2025) Analysis & Trends
On a TTM basis, Gee's Return on Sales [ROS] came in at -26.83% as of Dec 31, 2025, down 2.67 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at -26.23%, down 2.19 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four straight fiscal years, with a five-year change of -15.57 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at -24.03% in FY2024 (-25.37 pp), 1.33% in FY2023 (-0.95 pp), 2.29% in FY2022 (-2.07 pp) and 4.36% in FY2021 (+15.01 pp).
- The fiscal Q1 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -12.50 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 74.38 percentage points in fiscal Q3 2025, against a drop of 87.18 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -3.29% (Q4 2025), -2.22% (Q3 2025) and -94.79% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.99% |
| Sep 30, 2025 | -3.29% |
| Jun 30, 2025 | -2.22% |
| Mar 31, 2025 | -94.79% |
| Dec 31, 2024 | -3.22% |
| Sep 30, 2024 | -5.34% |
| Jun 30, 2024 | -76.59% |
| Mar 31, 2024 | -7.61% |
| Dec 31, 2023 | -5.47% |
| Sep 30, 2023 | -1.48% |
| Jun 30, 2023 | 2.84% |
| Mar 31, 2023 | 1.79% |
| Dec 31, 2022 | 1.85% |
| Sep 30, 2022 | -0.48% |
| Jun 30, 2022 | 6.87% |
| Mar 31, 2022 | 2.97% |
| Dec 31, 2021 | -0.06% |
| Sep 30, 2021 | 5.44% |
| Jun 30, 2021 | 4.26% |
| Mar 31, 2021 | 1.83% |
Gee Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();