Geo (GEO) Accumulated Expenses (2010 - 2026)
Geo (GEO) reported Accumulated Expenses of $198.5 million for Q2 2026, up 11.1% from $178.59 million a year earlier but down 7.3% from the prior quarter.
Geo (GEO) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Geo posted Accumulated Expenses of $197.53 million, up 11.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $177.77 million in FY2024 (-22.1%), $228.06 million in FY2023 (-3.9%), $237.37 million in FY2022 (+18.3%) and $200.71 million in FY2021 (-0.8%).
- Five-year quarterly Accumulated Expenses spans a low of $174.84 million in Q2 2023 and a high of $237.37 million in Q4 2022.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 2.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2022 (growth of 18.3%); the low point was Q4 2024 (a decline of 22.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $214.21 million (Q1 2026), $197.53 million (Q4 2025) and $235.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - |
| 10 | Geo | 3.66 Bn | 3.27 Bn | - |
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 |
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_KEY
import 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();