Gee (JOB) Selling, General & Administrative (2009 - 2026)
Gee's Selling, General & Administrative came in at $7.71 million for fiscal Q1 2026 (quarter ended Dec 31, 2025), down 8.7% from $8.44 million a year earlier and down 13.7% from the prior quarter.
Gee (JOB) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Gee reported Selling, General & Administrative of $34.89 million, down 8.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $35.62 million, down 10.5% from FY2024.
- Selling, General & Administrative has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Going back by fiscal year, Selling, General & Administrative was $39.81 million in FY2024 (-16.3%), $47.58 million in FY2023 (-8.4%), $51.91 million in FY2022 (+24.6%) and $41.65 million in FY2021 (-6.2%).
- The fiscal Q1 2026 figure represents the lowest quarterly Selling, General & Administrative since fiscal Q2 2017.
- Year-over-year, Selling, General & Administrative has declined for 12 consecutive quarters, with an average decline of 12.2% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q2 2022 (growth of 33.2%), and the weakest in fiscal Q2 2021 (a decline of 28.3%).
- Business Quant data shows JOB's Selling, General & Administrative at $8.93 million (Q4 2025), $8.95 million (Q3 2025) and $9.31 million (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 1.31 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 348.77 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 326.77 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 568.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 260.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 78.63 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 746.84 Mn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | 7.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.84 Mn |
| Mar 31, 2026 | 7.41 Mn |
| Dec 31, 2025 | 7.71 Mn |
| Sep 30, 2025 | 8.93 Mn |
| Jun 30, 2025 | 8.95 Mn |
| Mar 31, 2025 | 9.31 Mn |
| Dec 31, 2024 | 8.44 Mn |
| Sep 30, 2024 | 10.32 Mn |
| Jun 30, 2024 | 9.75 Mn |
| Mar 31, 2024 | 9.56 Mn |
| Dec 31, 2023 | 10.61 Mn |
| Sep 30, 2023 | 11.31 Mn |
| Jun 30, 2023 | 11.75 Mn |
| Mar 31, 2023 | 11.71 Mn |
| Dec 31, 2022 | 12.81 Mn |
| Sep 30, 2022 | 14.47 Mn |
| Jun 30, 2022 | 12.86 Mn |
| Mar 31, 2022 | 12.23 Mn |
| Dec 31, 2021 | 12.36 Mn |
| Sep 30, 2021 | 11.87 Mn |
Gee Selling, General & Administrative 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=selling-general-and-administrative&ticker=JOB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();