Banco BBVA Argentina (BBAR) Non-cash Items (2017 - 2019)
Banco BBVA Argentina (BBAR) posted Non-cash Items of -$1.85 trillion for the year ended Dec 31, 2025, compared with -$641.36 billion a year earlier.
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Analysis
Banco BBVA Argentina (BBAR) Non-cash Items (2017 - 2019) Analysis & Trends
Since the year ended Dec 31, 2017, Banco BBVA Argentina has reported Non-cash Items for 9 years.
- Annual Non-cash Items has run from a low of -$3.35 trillion in the year ended Dec 31, 2023 to a high of $88.88 billion in the year ended Dec 31, 2021 over five years.
- Business Quant data shows BBAR's Non-cash Items at -$641.36 billion in the year ended Dec 31, 2024, -$3.35 trillion in the year ended Dec 31, 2023, -$1.07 trillion in the year ended Dec 31, 2022 and $88.88 billion in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 10 | Banco BBVA Argentina | 7.68 Bn | -15,889.23 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 2.25 Bn |
| Mar 31, 2019 | 1.57 Bn |
| Dec 31, 2018 | 2.07 Bn |
| Jun 30, 2018 | 506.63 Mn |
| Mar 31, 2018 | 288.00 Mn |
| Sep 30, 2017 | 78.41 Mn |
| Jun 30, 2017 | 138.28 Mn |
API Access
Banco BBVA Argentina Non-cash Items 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-cash-items&ticker=BBAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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-cash-items&ticker=BBAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();