BioCardia (BCDA) Return on Sales [ROS] (2009 - 2025)
BioCardia's Return on Sales [ROS] was -281733.33% in Q1 2025, down 277596.97 percentage points from -4136.36% a year earlier and down 267938.51 percentage points from the prior quarter.
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Analysis
BioCardia (BCDA) Return on Sales [ROS] (2009 - 2025) Analysis & Trends
For FY2024, Return on Sales [ROS] at BioCardia came in at -13794.83%, down 11353.74 percentage points from FY2023.
- Return on Sales [ROS] shows a five-year change of -11793.00 percentage points (FY2019 to FY2024).
- In earlier years, Return on Sales [ROS] was -2441.09% in FY2023 (-1560.84 pp), -880.25% in FY2022 (+364.08 pp), -1244.33% in FY2021 (+9465.32 pp) and -10709.66% in FY2020 (-8707.82 pp).
- The Q1 2025 figure marks the lowest quarterly Return on Sales [ROS] in data going back to Q4 2011.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -43924.85 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 10987.81 percentage points); the worst was Q1 2025 (a drop of 277596.97 percentage points).
- Per Business Quant data, BCDA's Return on Sales [ROS] in the three quarters before Q1 2025 was -13794.83% (Q4 2024), -10935.21% (Q3 2024) and -54966.67% (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | BioCardia | 11.25 Mn | -1.62 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -281,733.33% |
| Dec 31, 2024 | -13,794.83% |
| Sep 30, 2024 | -10,935.21% |
| Jun 30, 2024 | -54,966.67% |
| Mar 31, 2024 | -4,136.36% |
| Dec 31, 2023 | -16,030.77% |
| Sep 30, 2023 | -727.73% |
| Jun 30, 2023 | -8,027.91% |
| Mar 31, 2023 | -5,484.38% |
| Dec 31, 2022 | -2,847.17% |
| Sep 30, 2022 | -1,443.40% |
| Jun 30, 2022 | -256.26% |
| Mar 31, 2022 | -5,545.00% |
| Dec 31, 2021 | -4,381.01% |
| Sep 30, 2021 | -329.84% |
| Jun 30, 2021 | -5,056.52% |
| Mar 31, 2021 | -6,460.87% |
| Dec 31, 2020 | -7,604.35% |
| Sep 30, 2020 | -11,317.65% |
| Jun 30, 2020 | -13,237.04% |
API Access
BioCardia 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=BCDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BCDA", "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=BCDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();