Bladex (BLX) EBITDA (2010 - 2026)
Bladex's EBITDA was $68.11 million in Q2 2026, up 4.4% from $65.25 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Bladex (BLX) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bladex's EBITDA was $239.77 million through Jun 30, 2026, up 6.9% year-over-year; for FY2025, it was $344.4 million, up 12.1% from FY2024.
- EBITDA has now increased for three consecutive years, with a five-year compound annual growth rate of 27.9% (FY2020 to FY2025).
- In earlier years, EBITDA was $307.2 million in FY2024 (+14.1%), $269.21 million in FY2023 (+184.1%), $94.76 million in FY2022 (-10.3%) and $105.69 million in FY2021 (+5.0%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q4 2021.
- Compared with a year earlier, EBITDA has increased for six straight quarters, with growth averaging 9.6% over the last six quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2022 (growth of 190.0%); the worst was Q4 2022 (a decline of 90.9%).
- Per Business Quant data, BLX's EBITDA in the three quarters before Q2 2026 was $57.96 million (Q1 2026), $57.69 million (Q4 2025) and $56.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Bladex | 2.07 Bn | -7.87 Bn | - | 68.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.11 Mn |
| Mar 31, 2026 | 57.96 Mn |
| Dec 31, 2025 | 57.69 Mn |
| Sep 30, 2025 | 56.02 Mn |
| Jun 30, 2025 | 65.25 Mn |
| Mar 31, 2025 | 52.75 Mn |
| Dec 31, 2024 | 52.50 Mn |
| Sep 30, 2024 | 53.89 Mn |
| Jun 30, 2024 | 50.96 Mn |
| Mar 31, 2024 | 52.09 Mn |
| Mar 31, 2023 | 36.22 Mn |
| Dec 31, 2022 | 30.35 Mn |
| Sep 30, 2022 | 27.33 Mn |
| Jun 30, 2022 | 53.02 Mn |
| Mar 31, 2022 | 52.78 Mn |
| Dec 31, 2021 | 333.55 Mn |
| Jun 30, 2021 | 18.28 Mn |
| Mar 31, 2021 | 26.67 Mn |
| Dec 31, 2020 | 330.08 Mn |
| Jun 30, 2020 | 23.64 Mn |
API Access
Bladex 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=ebitda&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();