Gee (JOB) Return on Equity [ROE] (2011 - 2025)
Gee (JOB) reported Return on Equity [ROE] of -68.42% for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 40.73 percentage points from -27.69% a year earlier but up 0.79 percentage points from the prior quarter.
Gee (JOB) Return on Equity [ROE] (2011 - 2025) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Gee posted Return on Equity [ROE] of -51.78%, down 26.87 percentage points from FY2024.
- Return on Equity [ROE] has declined for three consecutive fiscal years, though with a five-year change of +26.65 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Equity [ROE] came in at -24.91% in FY2024 (-20.08 pp), -4.83% in FY2023 (-26.40 pp), 21.56% in FY2022 (+21.55 pp) and 0.01% in FY2021 (+78.44 pp).
- Five-year quarterly Return on Equity [ROE] spans a low of -82.44% in fiscal Q2 2025 and a high of 23.33% in fiscal Q3 2022.
- Year over year, Return on Equity [ROE] has now declined in each of the last 13 quarters, with an average year-over-year change of -36.67 percentage points over the last eight quarters.
- The high point for year-over-year Return on Equity [ROE] in five years was fiscal Q2 2021 (a gain of 421.31 percentage points); the low point was fiscal Q2 2025 (a drop of 75.48 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2026 came in at -69.21% (Q4 2025), -72.23% (Q3 2025) and -82.44% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 24.31% |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 40.29% |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 9.88% |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 37.83% |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 11.50% |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 35.72% |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Gee | 25.27 Mn | 25.27 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -68.42% |
| Sep 30, 2025 | -69.21% |
| Jun 30, 2025 | -72.23% |
| Mar 31, 2025 | -82.44% |
| Dec 31, 2024 | -27.69% |
| Sep 30, 2024 | -26.41% |
| Jun 30, 2024 | -36.01% |
| Mar 31, 2024 | -6.96% |
| Dec 31, 2023 | -5.29% |
| Sep 30, 2023 | -4.62% |
| Jun 30, 2023 | 7.88% |
| Mar 31, 2023 | 3.08% |
| Dec 31, 2022 | 3.53% |
| Sep 30, 2022 | 19.34% |
| Jun 30, 2022 | 23.33% |
| Mar 31, 2022 | 20.17% |
| Dec 31, 2021 | 19.05% |
| Sep 30, 2021 | 0.01% |
| Jun 30, 2021 | -31.05% |
| Mar 31, 2021 | -29.14% |
Gee Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();