Geo (GEO) Price to FCF (2010 - 2026)
Geo's (GEO) Price to FCF was 147.86 for Q2 2026, up 472.6% from 25.82 a year earlier.
Analysis
Geo (GEO) Price to FCF (2010 - 2026) Analysis & Trends
For FY2024, Price to FCF at Geo was 23.98, up 259.7% from FY2023.
- By year, Price to FCF came in at 6.67 in FY2023 (-2.8%), 6.86 in FY2022 (+54.2%), 4.45 in FY2021 (+37.9%) and 3.23 in FY2020 (-64.6%).
- The Q2 2026 figure ranks as the highest quarterly Price to FCF since Q2 2016.
- The high point for year-over-year Price to FCF in five years was Q2 2026 (growth of 472.6%); the low point was Q3 2021 (a decline of 39.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Geo | 4.15 Bn | 3.76 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.86 |
| Sep 30, 2025 | 108.26 |
| Jun 30, 2025 | 25.82 |
| Mar 31, 2025 | 30.44 |
| Dec 31, 2024 | 23.98 |
| Sep 30, 2024 | 9.25 |
| Jun 30, 2024 | 9.91 |
| Mar 31, 2024 | 9.28 |
| Dec 31, 2023 | 6.67 |
| Sep 30, 2023 | 4.71 |
| Jun 30, 2023 | 6.45 |
| Mar 31, 2023 | 5.82 |
| Dec 31, 2022 | 6.86 |
| Sep 30, 2022 | 7.00 |
| Jun 30, 2022 | 4.35 |
| Mar 31, 2022 | 3.66 |
| Dec 31, 2021 | 4.45 |
| Sep 30, 2021 | 3.15 |
| Jun 30, 2021 | 3.00 |
| Mar 31, 2021 | 2.85 |
API Access
Geo Price to FCF 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=price-to-fcf&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();