Gee (JOB) Other Accumulated Expenses (2010 - 2025)
Gee (JOB) posted Other Accumulated Expenses of $510,000 for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 53.0% from $1.08 million a year earlier and down 14.3% from the prior quarter.
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Analysis
Gee (JOB) Other Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Gee's Other Accumulated Expenses came in at $595,000, down 33.8% from FY2024.
- Annual Other Accumulated Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -38.5% (FY2020 to FY2025).
- In prior fiscal years, Gee's Other Accumulated Expenses was $899,000 in FY2024 (-49.4%), $1.78 million in FY2023 (-67.9%), $5.54 million in FY2022 (+36.2%) and $4.07 million in FY2021 (-39.8%).
- The fiscal Q1 2026 figure stands as the lowest quarterly Other Accumulated Expenses since fiscal Q3 2018.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last six quarters, with an average decline of 20.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q2 2021, with growth of 398.8%; the weakest was fiscal Q2 2023, with a decline of 77.2%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $595,000 (Q4 2025), $902,000 (Q3 2025) and $590,000 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Gee | 23.07 Mn | 23.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 510,000.00 |
| Sep 30, 2025 | 595,000.00 |
| Jun 30, 2025 | 902,000.00 |
| Mar 31, 2025 | 590,000.00 |
| Dec 31, 2024 | 1.08 Mn |
| Sep 30, 2024 | 899,000.00 |
| Jun 30, 2024 | 1.15 Mn |
| Mar 31, 2024 | 1.17 Mn |
| Dec 31, 2023 | 1.71 Mn |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 738,000.00 |
| Mar 31, 2023 | 945,000.00 |
| Dec 31, 2022 | 1.99 Mn |
| Sep 30, 2022 | 5.54 Mn |
| Jun 30, 2022 | 2.98 Mn |
| Mar 31, 2022 | 4.14 Mn |
| Dec 31, 2021 | 4.72 Mn |
| Sep 30, 2021 | 4.07 Mn |
| Jun 30, 2021 | 3.71 Mn |
| Mar 31, 2021 | 8.13 Mn |
API Access
Gee Other Accumulated Expenses 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=other-accumulated-expenses&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();