Nuvalent (NUVL) Total Current Liabilities (2020 - 2026)
Nuvalent's Total Current Liabilities was $81.05 million in Q1 2026, up 8.0% from $75.03 million a year earlier but down 11.1% from the prior quarter.
Nuvalent (NUVL) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Nuvalent came in at $91.17 million, up 68.8% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 83.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $54.02 million in FY2024 (+69.8%), $31.82 million in FY2023 (+63.4%), $19.48 million in FY2022 (+121.7%) and $8.79 million in FY2021 (+100.6%).
- Quarterly Total Current Liabilities has moved between $5.83 million (Q2 2021) and $91.17 million (Q4 2025) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for 16 straight quarters, with growth averaging 75.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Current Liabilities ran from 8.0% in Q1 2026 to 124.5% in Q1 2025.
- Per Business Quant data, NUVL's Total Current Liabilities in the three quarters before Q1 2026 was $91.17 million (Q4 2025), $89.15 million (Q3 2025) and $75.15 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Nuvalent | 9.75 Bn | 9.75 Bn | - | 81.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 81.05 Mn |
| Dec 31, 2025 | 91.17 Mn |
| Sep 30, 2025 | 89.15 Mn |
| Jun 30, 2025 | 75.15 Mn |
| Mar 31, 2025 | 75.03 Mn |
| Dec 31, 2024 | 54.02 Mn |
| Sep 30, 2024 | 51.13 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 | 5.83 Mn |
Nuvalent 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=NUVL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=NUVL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();