Revolution Medicines (RVMD) Accumulated Expenses (2019 - 2026)
Revolution Medicines' Accumulated Expenses came in at $248.89 million for Q2 2026, up 117.0% from $114.69 million a year earlier and up 26.1% from the prior quarter.
Revolution Medicines (RVMD) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Revolution Medicines' Accumulated Expenses was $209.34 million, up 116.7% from FY2024.
- Accumulated Expenses has increased in each of the last six years, with a five-year compound annual growth rate of 62.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $96.62 million in FY2024 (+29.3%), $74.69 million in FY2023 (+153.7%), $29.45 million in FY2022 (+6.2%) and $27.72 million in FY2021 (+47.6%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2019.
- Year-over-year, Accumulated Expenses has increased for 23 consecutive quarters, with growth averaging 84.8% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 6.2% (Q4 2022) and 153.7% (Q4 2023) over the last five years.
- Business Quant data shows RVMD's Accumulated Expenses at $197.45 million (Q1 2026), $209.34 million (Q4 2025) and $159.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,222.16 Bn | 1,195.77 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 663.22 Bn | 583.08 Bn | 17.30 Bn |
| 3 | AbbVie | 515.27 Bn | 483.28 Bn | 13.12 Bn |
| 4 | Merck | 363.06 Bn | 326.00 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.76 Bn | 288.99 Bn | - |
| 6 | Astrazeneca | 289.77 Bn | 263.66 Bn | 13.26 Bn |
| 7 | Amgen | 249.67 Bn | 201.32 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 208.85 Bn | 183.96 Bn | 6.73 Bn |
| 9 | Pfizer | 166.92 Bn | 114.28 Bn | 12.56 Bn |
| 10 | Revolution Medicines | 41.35 Bn | 29.83 Bn | 197.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 365.63 Mn |
| Jun 30, 2026 | 248.89 Mn |
| Mar 31, 2026 | 197.45 Mn |
| Dec 31, 2025 | 209.34 Mn |
| Sep 30, 2025 | 159.45 Mn |
| Jun 30, 2025 | 114.69 Mn |
| Mar 31, 2025 | 98.11 Mn |
| Dec 31, 2024 | 96.62 Mn |
| Sep 30, 2024 | 78.01 Mn |
| Jun 30, 2024 | 67.68 Mn |
| Mar 31, 2024 | 53.18 Mn |
| Dec 31, 2023 | 74.69 Mn |
| Sep 30, 2023 | 50.16 Mn |
| Jun 30, 2023 | 42.56 Mn |
| Mar 31, 2023 | 27.37 Mn |
| Dec 31, 2022 | 29.45 Mn |
| Sep 30, 2022 | 32.19 Mn |
| Jun 30, 2022 | 33.76 Mn |
| Mar 31, 2022 | 25.52 Mn |
| Dec 31, 2021 | 27.72 Mn |
Revolution Medicines Accumulated Expenses 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=accumulated-expenses&ticker=RVMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RVMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();