Revolution Medicines (RVMD) Total Non-Current Liabilities (2019 - 2026)
Revolution Medicines (RVMD) posted Total Non-Current Liabilities of $1.53 billion for Q2 2026, up 175.0% from $557 million a year earlier and up 112.9% from the prior quarter.
Revolution Medicines (RVMD) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Revolution Medicines' Total Non-Current Liabilities came in at $704.67 million, up 143.1% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 50.2% (FY2020 to FY2025).
- In prior years, Revolution Medicines' Total Non-Current Liabilities was $289.91 million in FY2024 (+26.6%), $229 million in FY2023 (+81.1%), $126.44 million in FY2022 (-6.2%) and $134.79 million in FY2021 (+46.4%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 13 quarters, with growth averaging 127.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 234.7%; the weakest was Q1 2023, with a decline of 8.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $719.49 million (Q1 2026), $704.67 million (Q4 2025) and $649.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Revolution Medicines | 37.70 Bn | 27.90 Bn | - | 1.53 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.53 Bn |
| Mar 31, 2026 | 712.61 Mn |
| Dec 31, 2025 | 703.46 Mn |
| Sep 30, 2025 | 646.62 Mn |
| Jun 30, 2025 | 551.67 Mn |
| Mar 31, 2025 | 282.32 Mn |
| Dec 31, 2024 | 289.24 Mn |
| Sep 30, 2024 | 192.29 Mn |
| Jun 30, 2024 | 187.53 Mn |
| Mar 31, 2024 | 176.70 Mn |
| Dec 31, 2023 | 227.54 Mn |
| Sep 30, 2023 | 145.79 Mn |
| Jun 30, 2023 | 142.62 Mn |
| Mar 31, 2023 | 119.34 Mn |
| Dec 31, 2022 | 126.44 Mn |
| Sep 30, 2022 | 144.02 Mn |
| Jun 30, 2022 | 133.74 Mn |
| Mar 31, 2022 | 130.15 Mn |
| Dec 31, 2021 | 134.79 Mn |
| Sep 30, 2021 | 95.84 Mn |
Revolution Medicines Total Non-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-non-current-liabilities&ticker=RVMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=RVMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();