Geo (GEO) Selling, General & Administrative (2009 - 2026)
Geo's Selling, General & Administrative came in at $65.47 million for Q2 2026, up 16.4% from $56.25 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Geo (GEO) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Geo reported Selling, General & Administrative of $247.99 million, up 11.8% year-over-year; for FY2025, it was $235.94 million, up 10.8% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $213.03 million in FY2024 (+11.7%), $190.77 million in FY2023 (-3.2%), $196.97 million in FY2022 (-3.6%) and $204.31 million in FY2021 (+5.7%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q4 2011.
- Year-over-year, Selling, General & Administrative increased in six of the last eight quarters, with growth averaging 10.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2025 (growth of 31.9%), and the weakest in Q2 2023 (a decline of 15.4%).
- Business Quant data shows GEO's Selling, General & Administrative at $60.58 million (Q1 2026), $59.82 million (Q4 2025) and $62.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn | 326.77 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn | 764.59 Mn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn | 78.63 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - | - |
| 10 | Geo | 3.62 Bn | 3.23 Bn | - | 65.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.47 Mn |
| Mar 31, 2026 | 60.58 Mn |
| Dec 31, 2025 | 59.82 Mn |
| Sep 30, 2025 | 62.12 Mn |
| Jun 30, 2025 | 56.25 Mn |
| Mar 31, 2025 | 57.75 Mn |
| Dec 31, 2024 | 60.68 Mn |
| Sep 30, 2024 | 47.08 Mn |
| Jun 30, 2024 | 52.20 Mn |
| Mar 31, 2024 | 53.07 Mn |
| Dec 31, 2023 | 51.58 Mn |
| Sep 30, 2023 | 47.36 Mn |
| Jun 30, 2023 | 41.69 Mn |
| Mar 31, 2023 | 50.13 Mn |
| Dec 31, 2022 | 49.09 Mn |
| Sep 30, 2022 | 50.02 Mn |
| Jun 30, 2022 | 49.30 Mn |
| Mar 31, 2022 | 48.56 Mn |
| Dec 31, 2021 | 50.66 Mn |
| Sep 30, 2021 | 50.48 Mn |
API Access
Geo 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=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "GEO", "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=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();