Bladex (BLX) EV to CFO (2011 - 2026)
Bladex's EV to CFO came in at 5.38 for Q1 2026, up 13.5% from the prior quarter.
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Analysis
Bladex (BLX) EV to CFO (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Bladex reported EV to CFO of 4.42; for FY2025, it came in at 1.14.
- Going back by year, EV to CFO was 0.77 in FY2023.
- The Q1 2026 figure represents the highest quarterly EV to CFO since Q3 2024.
- Business Quant data shows BLX's EV to CFO at 4.74 (Q4 2025), 0.31 (Q3 2025) and 0.35 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Bladex | 1.89 Bn | -4.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.26 |
| Dec 31, 2025 | 0.30 |
| Sep 30, 2025 | 0.31 |
| Jun 30, 2025 | 0.35 |
| Sep 30, 2024 | 0.90 |
| Jun 30, 2024 | 0.44 |
| Mar 31, 2024 | 0.49 |
| Dec 31, 2023 | -1.74 |
| Sep 30, 2023 | 0.87 |
| Jun 30, 2023 | 0.96 |
| Mar 31, 2023 | 3.74 |
| Mar 31, 2021 | 0.35 |
| Dec 31, 2020 | 0.31 |
| Sep 30, 2020 | -0.38 |
| Jun 30, 2020 | -1.22 |
| Sep 30, 2019 | -0.61 |
| Jun 30, 2019 | -0.60 |
| Mar 31, 2018 | 2.61 |
| Dec 31, 2017 | 0.55 |
| Sep 30, 2017 | 0.37 |
API Access
Bladex EV to CFO 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-cfo&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "ticker": "BLX", "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-cfo&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();