Cullen (CFR) EV to FCF (2010 - 2026)
Cullen's (CFR) EV to FCF was 5.72 for Q2 2026, down 55.6% from 12.87 a year earlier but up 165.9% from the prior quarter.
Analysis
Cullen (CFR) EV to FCF (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cullen's EV to FCF came in at -38.74; for FY2025, it was -7.13.
- By year, EV to FCF came in at -1.91 in FY2024, -5.48 in FY2023, -5.57 in FY2022 and -14.66 in FY2021.
- Five-year quarterly EV to FCF spans a low of -15.83 in Q3 2021 and a high of 12.87 in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at 2.15 (Q1 2026), -7.13 (Q4 2025) and 8.17 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Cullen | 9.49 Bn | -21.09 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.72 |
| Mar 31, 2026 | 2.15 |
| Dec 31, 2025 | -7.13 |
| Sep 30, 2025 | 8.17 |
| Jun 30, 2025 | 12.87 |
| Mar 31, 2025 | 2.16 |
| Dec 31, 2024 | -1.91 |
| Sep 30, 2024 | -2.89 |
| Jun 30, 2024 | -1.06 |
| Mar 31, 2024 | -1.96 |
| Dec 31, 2023 | -5.48 |
| Sep 30, 2023 | -3.12 |
| Jun 30, 2023 | -0.41 |
| Mar 31, 2023 | -6.04 |
| Dec 31, 2022 | -5.57 |
| Sep 30, 2022 | -9.35 |
| Jun 30, 2022 | -11.75 |
| Mar 31, 2022 | -8.07 |
| Dec 31, 2021 | -14.66 |
| Sep 30, 2021 | -15.83 |
API Access
Cullen EV 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=ev-to-fcf&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "CFR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-fcf&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();