Bladex (BLX) Operating Income (2009 - 2026)
Bladex's Operating Income was $66.45 million in Q2 2026, up 3.5% from $64.18 million a year earlier and up 17.9% from the prior quarter.
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Analysis
Bladex (BLX) Operating Income (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bladex's Operating Income was $233.78 million through Jun 30, 2026, up 6.1% year-over-year; for FY2025, it came in at $339.57 million, up 11.8% from FY2024.
- Operating Income has now increased for three consecutive years, with a five-year compound annual growth rate of 27.9% (FY2020 to FY2025).
- In earlier years, Operating Income was $303.64 million in FY2024 (+14.1%), $266.12 million in FY2023 (+189.1%), $92.04 million in FY2022 (-11.7%) and $104.21 million in FY2021 (+5.1%).
- The Q2 2026 figure marks the highest quarterly Operating Income since Q4 2023.
- Compared with a year earlier, Operating Income has increased for six straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Operating Income over five years was Q2 2022 (growth of 179.5%); the worst was Q4 2024 (a decline of 64.8%).
- Per Business Quant data, BLX's Operating Income in the three quarters before Q2 2026 was $56.36 million (Q1 2026), $56 million (Q4 2025) and $54.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,140.26 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 | 5.11 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Bladex | 2.05 Bn | -7.89 Bn | - | 66.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.45 Mn |
| Mar 31, 2026 | 56.36 Mn |
| Dec 31, 2025 | 56.00 Mn |
| Sep 30, 2025 | 54.97 Mn |
| Jun 30, 2025 | 64.18 Mn |
| Mar 31, 2025 | 51.73 Mn |
| Dec 31, 2024 | 51.49 Mn |
| Sep 30, 2024 | 52.99 Mn |
| Jun 30, 2024 | 50.12 Mn |
| Mar 31, 2024 | 51.27 Mn |
| Dec 31, 2023 | 146.35 Mn |
| Sep 30, 2023 | 45.75 Mn |
| Jun 30, 2023 | 37.07 Mn |
| Mar 31, 2023 | 36.95 Mn |
| Jun 30, 2022 | 53.73 Mn |
| Mar 31, 2022 | 53.50 Mn |
| Dec 31, 2021 | 330.80 Mn |
| Aug 31, 2021 | 17.05 Mn |
| Jun 30, 2021 | 19.23 Mn |
| Mar 31, 2021 | 27.76 Mn |
API Access
Bladex Operating Income 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=operating-income&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();