Gee (JOB) Gross Margin (2009 - 2026)
Gee's Gross Margin was 36.09% in fiscal Q1 2026 (quarter ended Dec 31, 2025), up 3.10 percentage points from 32.99% a year earlier and up 0.27 percentage points from the prior quarter.
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Analysis
Gee (JOB) Gross Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gee's Gross Margin was 35.33% through Dec 31, 2025, up 1.55 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 34.58%, up 0.78 percentage points from FY2024.
- Gross Margin shows a five-year change of +0.15 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Gross Margin was 33.80% in FY2024 (-0.89 pp), 34.68% in FY2023 (-2.67 pp), 37.36% in FY2022 (+2.06 pp) and 35.29% in FY2021 (+0.86 pp).
- The fiscal Q1 2026 figure marks the highest quarterly Gross Margin since fiscal Q4 2022.
- Compared with a year earlier, Gross Margin has increased for six straight quarters, with an average year-over-year change of +0.75 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q2 2022 (a gain of 5.21 percentage points); the worst was fiscal Q3 2023 (a drop of 4.37 percentage points).
- Per Business Quant data, JOB's Gross Margin in the three fiscal quarters before Q1 2026 was 35.83% (Q4 2025), 35.40% (Q3 2025) and 34.13% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 32.04% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 51.54% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 53.45% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 53.49% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 30.15% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 51.40% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 8.51% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 71.22% |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 39.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.88% |
| Mar 31, 2026 | 38.06% |
| Dec 31, 2025 | 36.09% |
| Sep 30, 2025 | 35.83% |
| Jun 30, 2025 | 35.40% |
| Mar 31, 2025 | 34.13% |
| Dec 31, 2024 | 32.99% |
| Sep 30, 2024 | 35.10% |
| Jun 30, 2024 | 34.12% |
| Mar 31, 2024 | 32.80% |
| Dec 31, 2023 | 31.78% |
| Sep 30, 2023 | 33.89% |
| Jun 30, 2023 | 35.77% |
| Mar 31, 2023 | 34.01% |
| Dec 31, 2022 | 34.97% |
| Sep 30, 2022 | 36.32% |
| Jun 30, 2022 | 40.14% |
| Mar 31, 2022 | 36.62% |
| Dec 31, 2021 | 36.37% |
| Sep 30, 2021 | 36.73% |
API Access
Gee Gross Margin 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=gross-margin&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();