Banco BBVA Argentina (BBAR) Return on Sales [ROS] (2017 - 2026)
Banco BBVA Argentina (BBAR) reported Return on Sales [ROS] of 27.01% for Q2 2026, up 4.73 percentage points from 22.28% a year earlier but down 4.41 percentage points from the prior quarter.
Banco BBVA Argentina (BBAR) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Banco BBVA Argentina's Return on Sales [ROS] came in at 29.89%, down 2.93 percentage points year-over-year; for FY2025, it came in at 32.24%, up 19.56 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -19.67 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 12.68% in FY2024 (-3.91 pp), 16.59% in FY2023 (-32.26 pp), 48.85% in FY2022 (+13.50 pp) and 35.35% in FY2021 (-16.56 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 21.32% in Q3 2025 and a high of 311.93% in Q4 2022.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -18.12 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 273.23 percentage points); the low point was Q4 2023 (a drop of 227.56 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 31.41% (Q1 2026), 38.89% (Q4 2025) and 21.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Banco BBVA Argentina | 6.57 Bn | -3,980.37 Bn | - | 27.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.01% |
| Mar 31, 2026 | 31.41% |
| Dec 31, 2025 | 38.89% |
| Sep 30, 2025 | 21.32% |
| Jun 30, 2025 | 22.28% |
| Mar 31, 2025 | 36.45% |
| Dec 31, 2024 | 26.56% |
| Sep 30, 2024 | 48.78% |
| Jun 30, 2024 | 55.24% |
| Mar 31, 2024 | 71.37% |
| Dec 31, 2023 | 84.37% |
| Sep 30, 2023 | 52.63% |
| Jun 30, 2023 | 57.36% |
| Mar 31, 2023 | 51.42% |
| Dec 31, 2022 | 311.93% |
| Sep 30, 2022 | 52.01% |
| Jun 30, 2022 | 46.58% |
| Mar 31, 2022 | 47.45% |
| Dec 31, 2021 | 38.71% |
| Sep 30, 2021 | 33.57% |
Banco BBVA Argentina Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BBAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BBAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();