Gee (JOB) Return on Assets [ROA] (2011 - 2025)
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] (2011 - 2025) 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 | 141.87 Bn | 102.28 Bn | 6.13 Bn | 11.69% |
| 2 | Cintas | 78.27 Bn | 77.46 Bn | 1.48 Bn | 19.26% |
| 3 | Iron Mountain | 33.11 Bn | 32.63 Bn | 1.07 Bn | 2.00% |
| 4 | APi | 17.29 Bn | 14.33 Bn | 703.00 Mn | 3.66% |
| 5 | Rollins | 14.72 Bn | 14.27 Bn | 569.95 Mn | 16.32% |
| 6 | Aramark | 14.39 Bn | 12.40 Bn | 430.34 Mn | 2.76% |
| 7 | UL Solutions | 13.43 Bn | 12.22 Bn | 417.00 Mn | 17.39% |
| 8 | Gartner | 12.17 Bn | 5.86 Bn | 1.19 Bn | 10.44% |
| 9 | Rentokil Initial | 10.01 Bn | 3.35 Bn | - | - |
| 10 | Gee | 24.17 Mn | 24.17 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Jun 30, 2021 | -13.77% |
| Mar 31, 2021 | -6.45% |
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();