Cullen (CFR) EV to EBITDA (2011 - 2026)
Cullen's (CFR) EV to EBITDA came in at 2.75 for Q3 2026, compared with 0.17 a year earlier and down 23.8% from the prior quarter.
Cullen (CFR) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EV to EBITDA at Cullen was -23.79; for FY2025, it came in at -0.59.
- In prior years, Cullen's EV to EBITDA was -1.05 in FY2024, -1.21 in FY2023, -3.73 in FY2022 and -14.65 in FY2021.
- Quarterly EV to EBITDA has run from a low of -14.65 in Q4 2021 to a high of 3.60 in Q2 2026 over five years.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 3.60 (Q2 2026), 1.65 (Q1 2026) and -1.04 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Cullen | 9.80 Bn | -19.95 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.75 |
| Jun 30, 2026 | 3.60 |
| Mar 31, 2026 | 1.65 |
| Dec 31, 2025 | -1.04 |
| Sep 30, 2025 | 0.17 |
| Jun 30, 2025 | 1.44 |
| Mar 31, 2025 | 0.20 |
| Dec 31, 2024 | -2.08 |
| Sep 30, 2024 | -1.37 |
| Jun 30, 2024 | -0.45 |
| Mar 31, 2024 | -0.87 |
| Dec 31, 2023 | -1.21 |
| Sep 30, 2023 | -1.24 |
| Jun 30, 2023 | -0.18 |
| Mar 31, 2023 | -2.21 |
| Dec 31, 2022 | -3.73 |
| Sep 30, 2022 | -7.20 |
| Jun 30, 2022 | -10.49 |
| Mar 31, 2022 | -9.81 |
| Dec 31, 2021 | -14.65 |
Cullen EV to EBITDA 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-ebitda&ticker=CFR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=CFR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();