Gee (JOB) Return on Assets [ROA] (2009 - 2026)
Gee (JOB) recorded Return on Assets [ROA] of -57.52% in fiscal Q1 2026 (quarter ended Dec 31, 2025), down 32.88 percentage points from -24.63% a year earlier but up 0.13 percentage points from the prior quarter.
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Analysis
Gee (JOB) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Gee reported Return on Assets [ROA] of -44.58%, down 22.62 percentage points from FY2024.
- Annual Return on Assets [ROA] has declined for three straight fiscal years, with a five-year change of -32.84 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at -21.96% in FY2024 (-17.78 pp), -4.18% in FY2023 (-20.71 pp), 16.53% in FY2022 (+16.52 pp) and 0.01% in FY2021 (+11.74 pp).
- Quarterly Return on Assets [ROA] has ranged from -71.62% in fiscal Q2 2025 to 20.03% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has declined for 13 consecutive quarters, with an average year-over-year change of -30.90 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 33.81 percentage points in fiscal Q3 2022, against a drop of 65.34 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -57.64% (Q4 2025), -59.65% (Q3 2025) and -71.62% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 11.97% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 19.46% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 2.15% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 15.67% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 3.63% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 15.83% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 2.76% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 13.31% |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | -0.14% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.14% |
| Mar 31, 2026 | -1.81% |
| Dec 31, 2025 | -57.52% |
| Sep 30, 2025 | -57.64% |
| Jun 30, 2025 | -59.65% |
| Mar 31, 2025 | -71.62% |
| Dec 31, 2024 | -24.63% |
| Sep 30, 2024 | -23.36% |
| Jun 30, 2024 | -32.29% |
| Mar 31, 2024 | -6.28% |
| Dec 31, 2023 | -4.73% |
| Sep 30, 2023 | -4.11% |
| Jun 30, 2023 | 6.95% |
| Mar 31, 2023 | 2.69% |
| Dec 31, 2022 | 3.04% |
| Sep 30, 2022 | 16.52% |
| Jun 30, 2022 | 20.03% |
| Mar 31, 2022 | 17.19% |
| Dec 31, 2021 | 14.61% |
| Sep 30, 2021 | 0.01% |
API Access
Gee Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();