Geo (GEO) Cash & Equivalents (2009 - 2026)
Geo's (GEO) quarterly Cash & Equivalents came in at $55.0 million in Q2 2026, down 18.96% year-over-year from $67.9 million in Q2 2025, and down 31.45% quarter-over-quarter from $80.2 million in Q1 2026.
Geo (GEO) Cash & Equivalents (2009 - 2026) Analysis & Trends
Geo has disclosed Cash & Equivalents across 18 years of filings, most recently posting $55.0 million for Q2 2026.
- In Q2 2026, Cash & Equivalents fell 18.96% year-over-year to $55.0 million; the TTM figure through Jun 2026 stood at $55.0 million (down 18.96% YoY), while the FY2025 annual figure was $69.0 million, down 10.27% from the prior year.
- Cash & Equivalents came in at $55.0 million for Q2 2026 at Geo, down from $80.2 million in the prior quarter.
- In the past five years, Cash & Equivalents ranged from a high of $598.5 million in Q1 2022 to a low of $46.3 million in Q2 2024.
- Average Cash & Equivalents over 5 years is $144.9 million, with a median of $85.9 million recorded in 2022.
- Year-over-year, Cash & Equivalents plunged 91.71% in 2023 and soared 160.42% in 2025.
- Over 5 years, Cash & Equivalents stood at $95.1 million in 2022, then decreased by 1.16% to $94.0 million in 2023, then declined by 18.17% to $76.9 million in 2024, then slipped by 10.27% to $69.0 million in 2025, then fell by 20.3% to $55.0 million in 2026.
- Per Business Quant data, the three most recent Cash & Equivalents figures were $55.0 million in Q2 2026, $80.2 million in Q1 2026, and $69.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn | 289.02 Mn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn | 204.79 Mn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn | 851.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn | 109.09 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn | 499.43 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn | 173.35 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn | 163.23 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - | 54.99 Mn |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - | 108.93 Mn |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn | 110.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.99 Mn |
| Mar 31, 2026 | 80.22 Mn |
| Dec 31, 2025 | 69.00 Mn |
| Sep 30, 2025 | 183.95 Mn |
| Jun 30, 2025 | 67.86 Mn |
| Mar 31, 2025 | 64.82 Mn |
| Dec 31, 2024 | 76.90 Mn |
| Sep 30, 2024 | 70.64 Mn |
| Jun 30, 2024 | 46.30 Mn |
| Mar 31, 2024 | 126.50 Mn |
| Dec 31, 2023 | 93.97 Mn |
| Sep 30, 2023 | 141.02 Mn |
| Jun 30, 2023 | 48.72 Mn |
| Mar 31, 2023 | 110.92 Mn |
| Dec 31, 2022 | 95.07 Mn |
| Sep 30, 2022 | 91.65 Mn |
| Jun 30, 2022 | 587.86 Mn |
| Mar 31, 2022 | 598.51 Mn |
| Dec 31, 2021 | 506.49 Mn |
| Sep 30, 2021 | 537.07 Mn |
Geo Cash & Equivalents 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=cash-and-equivalents&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();