Grupo Supervielle (SUPV) Return on Sales [ROS] (2023 - 2024)
Grupo Supervielle's Return on Sales [ROS] was 2471.34% in the year ended Dec 31, 2022, up 1433.07 percentage points from 1038.26% a year earlier.
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Analysis
Grupo Supervielle (SUPV) Return on Sales [ROS] (2023 - 2024) Analysis & Trends
From the year ended Dec 31, 2017 onward, Grupo Supervielle has reported Return on Sales [ROS] for 6 years.
- Return on Sales [ROS] has now increased for five consecutive years, with a five-year change of +2330.76 percentage points (years ended Dec 2017 to Dec 2022).
- The figure for the year ended Dec 31, 2022 marks the highest annual Return on Sales [ROS] in data going back to the year ended Dec 31, 2017.
- Per Business Quant data, Return on Sales [ROS] in earlier years was 1038.26% in the year ended Dec 31, 2021 (+675.90 pp), 362.37% in the year ended Dec 31, 2020 (+37.63 pp), 324.73% in the year ended Dec 31, 2019 (+36.63 pp) and 288.10% in the year ended Dec 31, 2018 (+147.53 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Grupo Supervielle | 685.26 Mn | -1.29 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 5.67% |
| Jun 30, 2024 | 15.09% |
| Mar 31, 2024 | 29.80% |
| Sep 30, 2023 | 18.76% |
| Jun 30, 2023 | 18.02% |
| Mar 31, 2023 | 5.06% |
API Access
Grupo Supervielle 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=SUPV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SUPV", "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=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();