Revolution Medicines (RVMD) Return on Sales [ROS] (2019 - 2024)
Revolution Medicines (RVMD) reported Return on Sales [ROS] of -88031.94% for Q3 2024, down 86622.17 percentage points from -1409.77% a year earlier and down 7070.62 percentage points from the prior quarter.
Revolution Medicines (RVMD) Return on Sales [ROS] (2019 - 2024) Analysis & Trends
For FY2023, Revolution Medicines posted Return on Sales [ROS] of -4207.12%, down 3477.11 percentage points from FY2022.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -4007.13 percentage points (FY2018 to FY2023).
- By year, Return on Sales [ROS] came in at -730.01% in FY2022 (-90.31 pp), -639.70% in FY2021 (-382.16 pp), -257.54% in FY2020 (-149.39 pp) and -108.15% in FY2019 (+91.84 pp).
- The Q3 2024 figure ranks as the lowest quarterly Return on Sales [ROS] in data going back to Q1 2019.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -25134.11 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2022 (a gain of 2548.13 percentage points); the low point was Q3 2024 (a drop of 86622.17 percentage points).
- Per Business Quant data, the three quarters before Q3 2024 came in at -80961.32% (Q2 2024), -12108.78% (Q1 2024) and -24256.47% (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 28.37% |
| 10 | Revolution Medicines | 37.70 Bn | 27.90 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -88,031.94% |
| Jun 30, 2024 | -80,961.32% |
| Mar 31, 2024 | -12,108.78% |
| Dec 31, 2023 | -24,256.47% |
| Sep 30, 2023 | -1,409.77% |
| Jun 30, 2023 | -2,845.11% |
| Mar 31, 2023 | -1,071.53% |
| Dec 31, 2022 | -402.52% |
| Sep 30, 2022 | -2,280.48% |
| Jun 30, 2022 | -681.10% |
| Mar 31, 2022 | -764.70% |
| Dec 31, 2021 | -559.33% |
| Sep 30, 2021 | -4,828.61% |
| Jun 30, 2021 | -512.01% |
| Mar 31, 2021 | -369.13% |
| Dec 31, 2020 | -389.44% |
| Sep 30, 2020 | -217.61% |
| Jun 30, 2020 | -279.14% |
| Mar 31, 2020 | -182.59% |
| Dec 31, 2019 | -161.85% |
Revolution Medicines 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=RVMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RVMD", "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=RVMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();