Bladex (BLX) Receivables (2011 - 2025)
Bladex (BLX) recorded Receivables of $5.48 million in Q4 2025, up 82.9% from $3 million a year earlier.
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Analysis
Bladex (BLX) Receivables (2011 - 2025) Analysis & Trends
Starting with Q4 2011, Bladex's Receivables history includes 14 quarters.
- Annual Receivables has a five-year compound annual growth rate of 42.3% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $3 million in FY2024 (-38.2%), $4.84 million in FY2023 (+404.1%), $961,000 in FY2022 (-30.8%) and $1.39 million in FY2021 (+48.1%).
- The Q4 2025 figure is the highest quarterly Receivables since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 27.33 Bn |
| 10 | Bladex | 2.07 Bn | -7.87 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.48 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 4.84 Mn |
| Dec 31, 2022 | 961,000.00 |
| Dec 31, 2021 | 1.39 Mn |
| Dec 31, 2020 | 938,000.00 |
| Dec 31, 2019 | 3.55 Mn |
| Dec 31, 2018 | 13.33 Mn |
| Dec 31, 2017 | 6.79 Mn |
| Dec 31, 2016 | 5.41 Mn |
| Dec 31, 2014 | 4.28 Mn |
| Dec 31, 2013 | 1.51 Mn |
| Dec 31, 2012 | 1.75 Mn |
| Dec 31, 2011 | 1.26 Mn |
API Access
Bladex Receivables 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=receivables&ticker=BLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();