Banco BBVA Argentina (BBAR) Non-Current Debt (2023 - 2025)
Banco BBVA Argentina (BBAR) posted Non-Current Debt of -$244.39 billion for the year ended Dec 31, 2025, compared with -$218.41 billion a year earlier.
Banco BBVA Argentina (BBAR) Non-Current Debt (2023 - 2025) Analysis & Trends
Since the year ended Dec 31, 2017, Banco BBVA Argentina has reported Non-Current Debt for 9 years.
- The figure for the year ended Dec 31, 2025 stands as the lowest annual Non-Current Debt in data going back to the year ended Dec 31, 2017.
- Business Quant data shows BBAR's Non-Current Debt at -$218.41 billion in the year ended Dec 31, 2024, -$126.5 billion in the year ended Dec 31, 2023, -$191.84 billion in the year ended Dec 31, 2022 and -$48.79 billion in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (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 | - | 29.82 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 | 107.79 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 347.96 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Banco BBVA Argentina | 7.68 Bn | -15,889.23 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -33.59 Bn |
| Mar 31, 2025 | -18.32 Bn |
| Dec 31, 2024 | -184.53 Bn |
| Sep 30, 2024 | 29.74 Bn |
| Jun 30, 2024 | -26.28 Bn |
| Mar 31, 2024 | -37.33 Bn |
| Dec 31, 2023 | -89.15 Bn |
| Sep 30, 2023 | -17.51 Bn |
| Jun 30, 2023 | -11.23 Bn |
| Mar 31, 2023 | -8.61 Bn |
Banco BBVA Argentina Non-Current Debt 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=non-current-debt&ticker=BBAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "BBAR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=BBAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();