Bladex (BLX) Retained Earnings (2009 - 2026)
Bladex's Retained Earnings was $949.21 million in Q2 2026, up 10.2% from $861.43 million a year earlier and up 1.6% from the prior quarter.
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Analysis
Bladex (BLX) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Bladex came in at $916.43 million, up 15.7% from FY2024.
- Retained Earnings has now increased for seven consecutive years, with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $792.01 million in FY2024 (+17.6%), $673.28 million in FY2023 (+23.9%), $543.61 million in FY2022 (+11.4%) and $487.89 million in FY2021 (+5.1%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q1 2009.
- Compared with a year earlier, Retained Earnings has increased for 12 straight quarters, with growth averaging 15.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 0.0% (Q1 2023) to 27.2% (Q2 2022).
- Per Business Quant data, BLX's Retained Earnings in the three quarters before Q2 2026 was $934.62 million (Q1 2026), $916.43 million (Q4 2025) and $891.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Bladex | 2.05 Bn | -7.89 Bn | - | 949.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 949.21 Mn |
| Mar 31, 2026 | 934.62 Mn |
| Dec 31, 2025 | 916.43 Mn |
| Sep 30, 2025 | 891.33 Mn |
| Jun 30, 2025 | 861.43 Mn |
| Mar 31, 2025 | 820.54 Mn |
| Dec 31, 2024 | 792.01 Mn |
| Sep 30, 2024 | 763.46 Mn |
| Jun 30, 2024 | 737.96 Mn |
| Mar 31, 2024 | 706.23 Mn |
| Dec 31, 2023 | 673.28 Mn |
| Sep 30, 2023 | 636.03 Mn |
| Jun 30, 2023 | 599.07 Mn |
| Mar 31, 2023 | 571.47 Mn |
| Dec 31, 2022 | 543.61 Mn |
| Sep 30, 2022 | 521.67 Mn |
| Jun 30, 2022 | 599.07 Mn |
| Mar 31, 2022 | 571.47 Mn |
| Dec 31, 2021 | 487.89 Mn |
| Aug 31, 2021 | 446.70 Mn |
API Access
Bladex Retained Earnings 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=retained-earnings&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();