Bladex (BLX) EV to EBITDA (2010 - 2026)
Bladex's (BLX) EV to EBITDA stood at 2.52 in Q2 2026, compared with -8.05 a year earlier and up 183.0% from the prior quarter.
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Analysis
Bladex (BLX) EV to EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Bladex's EV to EBITDA came in at -31.89 as of Jun 30, 2026; for FY2025, it came in at -4.61.
- Across earlier years, EV to EBITDA came in at -6.12 in FY2024, -6.86 in FY2023, -35.86 in FY2022 and -29.40 in FY2021.
- The Q2 2026 figure is the highest quarterly EV to EBITDA since Q2 2015.
- Per Business Quant, the preceding three quarters came in at 0.89 (Q1 2026), -6.86 (Q4 2025) and -7.15 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Bladex | 2.07 Bn | -7.87 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.52 |
| Mar 31, 2026 | 0.89 |
| Dec 31, 2025 | -6.86 |
| Sep 30, 2025 | -7.15 |
| Jun 30, 2025 | -8.05 |
| Mar 31, 2025 | -8.11 |
| Dec 31, 2024 | -8.98 |
| Sep 30, 2024 | -6.30 |
| Jun 30, 2024 | -2.51 |
| Mar 31, 2024 | -9.00 |
| Mar 31, 2023 | -23.63 |
| Dec 31, 2022 | -20.60 |
| Sep 30, 2022 | -7.15 |
| Jun 30, 2022 | -7.93 |
| Mar 31, 2022 | -6.74 |
| Dec 31, 2021 | -3.81 |
| Jun 30, 2021 | -0.27 |
| Mar 31, 2021 | 0.04 |
| Dec 31, 2020 | -0.01 |
| Jun 30, 2020 | -2.49 |
API Access
Bladex 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=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();