Geo (GEO) Accumulated Expenses (2010 - 2026)
Geo's (GEO) quarterly Accumulated Expenses came in at $198.5 million in Q2 2026, up 11.15% year-over-year from $178.6 million in Q2 2025, and down 7.33% quarter-over-quarter from $214.2 million in Q1 2026.
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Analysis
Geo (GEO) Accumulated Expenses (2010 - 2026) Analysis & Trends
Geo has disclosed Accumulated Expenses across 17 years of filings, most recently posting $198.5 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 11.15% year-over-year to $198.5 million; the TTM figure through Jun 2026 stood at $198.5 million (up 11.15% YoY), while the FY2025 annual figure was $197.5 million, up 11.12% from the prior year.
- Accumulated Expenses came in at $198.5 million for Q2 2026 at Geo, down from $214.2 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $237.4 million in Q4 2022 to a low of $174.8 million in Q2 2023.
- Average Accumulated Expenses over 5 years is $201.5 million, with a median of $198.0 million recorded in 2025.
- Year-over-year, Accumulated Expenses climbed 18.26% in 2022 and retreated 22.05% in 2024.
- Over 5 years, Accumulated Expenses stood at $237.4 million in 2022, then slipped by 3.92% to $228.1 million in 2023, then dropped by 22.05% to $177.8 million in 2024, then grew by 11.12% to $197.5 million in 2025, then grew by 0.49% to $198.5 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $198.5 million in Q2 2026, $214.2 million in Q1 2026, and $197.5 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 198.50 Mn |
| Mar 31, 2026 | 214.21 Mn |
| Dec 31, 2025 | 197.53 Mn |
| Sep 30, 2025 | 235.45 Mn |
| Jun 30, 2025 | 178.59 Mn |
| Mar 31, 2025 | 188.00 Mn |
| Dec 31, 2024 | 177.77 Mn |
| Sep 30, 2024 | 210.31 Mn |
| Jun 30, 2024 | 198.63 Mn |
| Mar 31, 2024 | 196.28 Mn |
| Dec 31, 2023 | 228.06 Mn |
| Sep 30, 2023 | 200.19 Mn |
| Jun 30, 2023 | 174.84 Mn |
| Mar 31, 2023 | 182.77 Mn |
| Dec 31, 2022 | 237.37 Mn |
| Sep 30, 2022 | 218.63 Mn |
| Jun 30, 2022 | 196.92 Mn |
| Mar 31, 2022 | 193.70 Mn |
| Dec 31, 2021 | 200.71 Mn |
| Sep 30, 2021 | 216.40 Mn |
API Access
Geo 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=accumulated-expenses&ticker=GEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();