Geo (GEO) Cash from Operations (2009 - 2026)
Geo (GEO) recorded Cash from Operations of $79.99 million in Q2 2026, up 104.2% from $39.17 million a year earlier but down 48.9% from the prior quarter.
Geo (GEO) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, Geo's Cash from Operations came in at $198.69 million as of Jun 30, 2026, down 16.6% year-over-year; for FY2025, it came in at $72.61 million, down 70.0% from FY2024.
- Annual Cash from Operations has declined for three straight years, with a five-year compound annual growth rate of -30.3% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $242.24 million in FY2024 (-12.8%), $277.78 million in FY2023 (-3.5%), $287.98 million in FY2022 (+1.9%) and $282.64 million in FY2021 (-36.0%).
- Quarterly Cash from Operations has ranged from -$117.34 million in Q4 2025 to $156.48 million in Q1 2026 over the past five years.
- On a year-over-year basis, Cash from Operations rose in three of the last seven quarters, with growth averaging 19.6%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 119.7% in Q1 2026, against a decline of 70.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $156.48 million (Q1 2026), -$117.34 million (Q4 2025) and $79.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.25 Bn | 112.54 Bn | 6.13 Bn | 3.79 Bn |
| 2 | Cintas | 89.67 Bn | 88.76 Bn | 1.55 Bn | 572.33 Mn |
| 3 | Iron Mountain | 32.26 Bn | 31.45 Bn | 1.07 Bn | 549.26 Mn |
| 4 | APi | 16.99 Bn | 14.02 Bn | 703.00 Mn | 83.00 Mn |
| 5 | Rollins | 16.73 Bn | 16.28 Bn | 569.95 Mn | 172.51 Mn |
| 6 | Gartner | 15.16 Bn | 8.85 Bn | 1.19 Bn | 398.29 Mn |
| 7 | UL Solutions | 15.02 Bn | 13.78 Bn | 417.00 Mn | 160.00 Mn |
| 8 | Aramark | 13.92 Bn | 11.87 Bn | 430.34 Mn | 117.19 Mn |
| 9 | Rentokil Initial | 11.53 Bn | 5.04 Bn | - | - |
| 10 | Geo | 3.46 Bn | 3.07 Bn | - | 79.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.99 Mn |
| Mar 31, 2026 | 156.48 Mn |
| Dec 31, 2025 | -117.34 Mn |
| Sep 30, 2025 | 79.56 Mn |
| Jun 30, 2025 | 39.17 Mn |
| Mar 31, 2025 | 71.23 Mn |
| Dec 31, 2024 | 18.46 Mn |
| Sep 30, 2024 | 109.25 Mn |
| Jun 30, 2024 | 31.24 Mn |
| Mar 31, 2024 | 83.28 Mn |
| Dec 31, 2023 | 47.71 Mn |
| Sep 30, 2023 | 120.63 Mn |
| Jun 30, 2023 | 14.71 Mn |
| Mar 31, 2023 | 94.74 Mn |
| Dec 31, 2022 | 60.43 Mn |
| Sep 30, 2022 | 55.57 Mn |
| Jun 30, 2022 | 50.02 Mn |
| Mar 31, 2022 | 121.96 Mn |
| Dec 31, 2021 | -6.84 Mn |
| Sep 30, 2021 | 83.92 Mn |
Geo Cash from Operations 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-from-operations&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();