Bladex (BLX) Cash & Equivalents (2009 - 2024)
Bladex (BLX) recorded Cash & Equivalents of $1.2 billion in Q2 2026.
Analysis
Bladex (BLX) Cash & Equivalents (2009 - 2024) Analysis & Trends
At the end of FY2025, Bladex reported Cash & Equivalents of -$660.57 million.
- Across earlier years, Cash & Equivalents came in at $1.96 billion in FY2024 (-4.1%), $2.05 billion in FY2023 (+64.9%), $1.24 billion in FY2022 (-0.9%) and $1.25 billion in FY2021 (+45.1%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Bladex | 1.89 Bn | -4.74 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.96 Bn |
| Dec 31, 2023 | 2.05 Bn |
| Dec 31, 2022 | 1.24 Bn |
| Jun 30, 2022 | -244.18 Mn |
| Mar 31, 2022 | -447.73 Mn |
| Dec 31, 2021 | 1.25 Bn |
| Sep 30, 2021 | -109.40 Mn |
| Jun 30, 2021 | 295.86 Mn |
| Mar 31, 2021 | 427.60 Mn |
| Dec 31, 2020 | 863.81 Mn |
| Sep 30, 2020 | 1.49 Bn |
| Jun 30, 2020 | 1.37 Bn |
| Mar 31, 2020 | 1.27 Bn |
| Dec 31, 2019 | 1.18 Bn |
| Sep 30, 2019 | 737.28 Mn |
| Jun 30, 2019 | 777.46 Mn |
| Mar 31, 2019 | 803.55 Mn |
| Dec 31, 2018 | 1.75 Bn |
| Sep 30, 2018 | 792.95 Mn |
| Jun 30, 2018 | 683.52 Mn |
API Access
Bladex Cash & Equivalents 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=cash-and-equivalents&ticker=BLX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();