Revolution Medicines (RVMD) Operating Expenses (2019 - 2026)
Revolution Medicines (RVMD) recorded Operating Expenses of $505.13 million in Q2 2026, up 90.8% from $264.71 million a year earlier and up 13.5% from the prior quarter.
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Analysis
Revolution Medicines (RVMD) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Revolution Medicines' Operating Expenses came in at $1.63 billion as of Jun 30, 2026, up 81.3% year-over-year; for FY2025, it came in at $1.18 billion, up 71.5% from FY2024.
- Annual Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 50.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $689.52 million in FY2024 (+38.2%), $498.77 million in FY2023 (+69.8%), $293.66 million in FY2022 (+35.1%) and $217.4 million in FY2021 (+41.5%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2019.
- On a year-over-year basis, Operating Expenses has increased for 26 consecutive quarters, with growth averaging 65.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 19.7% in Q4 2024 to 134.6% in Q4 2023.
- Per Business Quant, the preceding three quarters came in at $445.22 million (Q1 2026), $361.63 million (Q4 2025) and $315.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Revolution Medicines | 37.70 Bn | 27.90 Bn | - | 505.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 505.13 Mn |
| Mar 31, 2026 | 445.22 Mn |
| Dec 31, 2025 | 361.63 Mn |
| Sep 30, 2025 | 315.27 Mn |
| Jun 30, 2025 | 264.71 Mn |
| Mar 31, 2025 | 240.76 Mn |
| Dec 31, 2024 | 216.31 Mn |
| Sep 30, 2024 | 175.71 Mn |
| Jun 30, 2024 | 156.64 Mn |
| Mar 31, 2024 | 140.86 Mn |
| Dec 31, 2023 | 180.73 Mn |
| Sep 30, 2023 | 123.25 Mn |
| Jun 30, 2023 | 112.62 Mn |
| Mar 31, 2023 | 82.17 Mn |
| Dec 31, 2022 | 77.04 Mn |
| Sep 30, 2022 | 79.89 Mn |
| Jun 30, 2022 | 71.21 Mn |
| Mar 31, 2022 | 65.53 Mn |
| Dec 31, 2021 | 62.37 Mn |
| Sep 30, 2021 | 54.26 Mn |
API Access
Revolution Medicines Operating 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=operating-expenses&ticker=RVMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RVMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();