Nuvalent (NUVL) Total Liabilities (2020 - 2026)
Nuvalent (NUVL) reported Total Liabilities of $156.78 million for Q1 2026, up 65.5% from $94.75 million a year earlier but down 4.6% from the prior quarter.
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Analysis
Nuvalent (NUVL) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Nuvalent posted Total Liabilities of $164.37 million, up 128.4% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 31.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $71.96 million in FY2024 (+126.1%), $31.82 million in FY2023 (+63.4%), $19.48 million in FY2022 (+121.7%) and $8.79 million in FY2021 (-79.1%).
- Five-year quarterly Total Liabilities spans a low of $6.84 million in Q3 2021 and a high of $191.24 million in Q2 2021.
- Year over year, Total Liabilities has now increased in each of the last 15 quarters, with growth averaging 122.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2025 (growth of 183.5%); the low point was Q2 2022 (a decline of 94.8%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $164.37 million (Q4 2025), $134.51 million (Q3 2025) and $100.8 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Nuvalent | 9.75 Bn | 9.75 Bn | - | 156.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 156.78 Mn |
| Dec 31, 2025 | 164.37 Mn |
| Sep 30, 2025 | 134.51 Mn |
| Jun 30, 2025 | 100.80 Mn |
| Mar 31, 2025 | 94.75 Mn |
| Dec 31, 2024 | 71.96 Mn |
| Sep 30, 2024 | 67.73 Mn |
| Jun 30, 2024 | 38.19 Mn |
| Mar 31, 2024 | 33.43 Mn |
| Dec 31, 2023 | 31.82 Mn |
| Sep 30, 2023 | 29.10 Mn |
| Jun 30, 2023 | 20.80 Mn |
| Mar 31, 2023 | 17.02 Mn |
| Dec 31, 2022 | 19.48 Mn |
| Sep 30, 2022 | 12.98 Mn |
| Jun 30, 2022 | 10.04 Mn |
| Mar 31, 2022 | 8.12 Mn |
| Dec 31, 2021 | 8.79 Mn |
| Sep 30, 2021 | 6.84 Mn |
| Jun 30, 2021 | 191.24 Mn |
API Access
Nuvalent Total 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-liabilities&ticker=NUVL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "NUVL", "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-liabilities&ticker=NUVL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();