Bladex (BLX) Income After Tax (2009 - 2026)
Bladex (BLX) recorded Income After Tax of $391.61 million in Q2 2026, up 1.6% from $385.31 million a year earlier and up 9.4% from the prior quarter.
Bladex (BLX) Income After Tax (2009 - 2026) Analysis & Trends
On a TTM basis, Bladex's Income After Tax came in at $1.49 billion as of Jun 30, 2026, down 1.5% year-over-year; for FY2025, it was $610.75 million, up 8.5% from FY2024.
- Annual Income After Tax has increased for four straight years, with a five-year compound annual growth rate of 57.2% (FY2020 to FY2025).
- Across earlier years, Income After Tax came in at $562.85 million in FY2024 (+238.7%), $166.16 million in FY2023 (+80.5%), $92.04 million in FY2022 (+46.8%) and $62.7 million in FY2021 (-1.4%).
- The Q2 2026 figure is the highest quarterly Income After Tax in data going back to Q1 2009.
- On a year-over-year basis, Income After Tax rose in four of the last eight quarters, with growth averaging 181.2%.
- Peak year-over-year performance for Income After Tax in the last five years was growth of 920.1% in Q2 2024, against a decline of 76.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $358.05 million (Q1 2026), $367.1 million (Q4 2025) and $374.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 5.29 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 5.94 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.31 Bn |
| 10 | Bladex | 1.89 Bn | -4.74 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 391.61 Mn |
| Mar 31, 2026 | 358.05 Mn |
| Dec 31, 2025 | 367.10 Mn |
| Sep 30, 2025 | 374.90 Mn |
| Jun 30, 2025 | 385.31 Mn |
| Mar 31, 2025 | 365.32 Mn |
| Dec 31, 2024 | 379.36 Mn |
| Sep 30, 2024 | 383.73 Mn |
| Jun 30, 2024 | 378.11 Mn |
| Mar 31, 2024 | 375.53 Mn |
| Dec 31, 2023 | 46.39 Mn |
| Sep 30, 2023 | 45.75 Mn |
| Jun 30, 2023 | 37.07 Mn |
| Mar 31, 2023 | 36.95 Mn |
| Dec 31, 2022 | 28.33 Mn |
| Sep 30, 2022 | 28.05 Mn |
| Jun 30, 2022 | 23.02 Mn |
| Mar 31, 2022 | 13.23 Mn |
| Dec 31, 2021 | 13.32 Mn |
| Sep 30, 2021 | 18.47 Mn |
Bladex Income After Tax 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=profit-after-tax&ticker=BLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();