Nuvalent (NUVL) Change in Accured Expenses (2020 - 2026)
Nuvalent's Change in Accured Expenses came in at -$2.13 million for Q1 2026, compared with -$373,000 a year earlier.
Nuvalent (NUVL) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Nuvalent reported Change in Accured Expenses of $9.7 million, down 66.0% year-over-year; for FY2025, it was $11.46 million, down 57.3% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 72.4% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $26.86 million in FY2024 (+178.6%), $9.64 million in FY2023 (+75.9%), $5.48 million in FY2022 (+46.3%) and $3.75 million in FY2021 (+398.3%).
- The five-year range for quarterly Change in Accured Expenses is -$6.24 million (Q4 2025) to $13.75 million (Q4 2024).
- Year-over-year, Change in Accured Expenses increased in four of the last five quarters, with growth averaging 127.5%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2024 (growth of 344.7%), and the weakest in Q4 2023 (a decline of 14.0%).
- Business Quant data shows NUVL's Change in Accured Expenses at -$6.24 million (Q4 2025), $5.23 million (Q3 2025) and $12.84 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Nuvalent | 9.75 Bn | 9.75 Bn | - | -2.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.13 Mn |
| Dec 31, 2025 | -6.24 Mn |
| Sep 30, 2025 | 5.23 Mn |
| Jun 30, 2025 | 12.84 Mn |
| Mar 31, 2025 | -373,000.00 |
| Dec 31, 2024 | 13.75 Mn |
| Sep 30, 2024 | 4.25 Mn |
| Jun 30, 2024 | 10.91 Mn |
| Mar 31, 2024 | -2.05 Mn |
| Dec 31, 2023 | 3.85 Mn |
| Sep 30, 2023 | 4.49 Mn |
| Jun 30, 2023 | 2.45 Mn |
| Mar 31, 2023 | -1.15 Mn |
| Dec 31, 2022 | 4.48 Mn |
| Sep 30, 2022 | -85,000.00 |
| Jun 30, 2022 | 2.33 Mn |
| Mar 31, 2022 | -1.24 Mn |
| Dec 31, 2021 | 2.17 Mn |
| Sep 30, 2021 | 1.29 Mn |
| Jun 30, 2021 | -117,000.00 |
Nuvalent Change in Accured 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=change-in-accured-expenses&ticker=NUVL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NUVL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();