Revolution Medicines (RVMD) Total Current Liabilities (2019 - 2026)
Revolution Medicines' Total Current Liabilities was $354.06 million in Q2 2026, up 91.9% from $184.53 million a year earlier and up 22.3% from the prior quarter.
Revolution Medicines (RVMD) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Revolution Medicines came in at $290.42 million, up 77.2% from FY2024.
- Total Current Liabilities has now increased for six consecutive years, with a five-year compound annual growth rate of 43.8% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $163.91 million in FY2024 (+13.9%), $143.85 million in FY2023 (+132.1%), $61.98 million in FY2022 (+2.7%) and $60.35 million in FY2021 (+27.9%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2019.
- Compared with a year earlier, Total Current Liabilities has increased for 13 straight quarters, with growth averaging 70.1% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2023 (growth of 132.1%); the worst was Q1 2023 (a decline of 4.9%).
- Per Business Quant data, RVMD's Total Current Liabilities in the three quarters before Q2 2026 was $289.6 million (Q1 2026), $290.42 million (Q4 2025) and $245.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Revolution Medicines | 37.70 Bn | 27.90 Bn | - | 354.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 354.06 Mn |
| Mar 31, 2026 | 289.60 Mn |
| Dec 31, 2025 | 290.42 Mn |
| Sep 30, 2025 | 245.62 Mn |
| Jun 30, 2025 | 184.53 Mn |
| Mar 31, 2025 | 158.60 Mn |
| Dec 31, 2024 | 163.91 Mn |
| Sep 30, 2024 | 110.86 Mn |
| Jun 30, 2024 | 105.33 Mn |
| Mar 31, 2024 | 93.72 Mn |
| Dec 31, 2023 | 143.85 Mn |
| Sep 30, 2023 | 85.54 Mn |
| Jun 30, 2023 | 78.06 Mn |
| Mar 31, 2023 | 54.64 Mn |
| Dec 31, 2022 | 61.98 Mn |
| Sep 30, 2022 | 73.27 Mn |
| Jun 30, 2022 | 63.54 Mn |
| Mar 31, 2022 | 57.46 Mn |
| Dec 31, 2021 | 60.35 Mn |
| Sep 30, 2021 | 51.89 Mn |
Revolution Medicines Total Current Liabilities 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=total-current-liabilities&ticker=RVMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=RVMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();