Nurix Therapeutics (NRIX) Change in Accured Expenses (2019 - 2026)
Nurix Therapeutics (NRIX) recorded Change in Accured Expenses of -$15.25 million in fiscal Q2 2026 (quarter ended May 31, 2026), compared with -$7.01 million a year earlier.
Nurix Therapeutics (NRIX) Change in Accured Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Nurix Therapeutics' Change in Accured Expenses came in at $6.24 million as of May 31, 2026, down 58.4% year-over-year; for FY2025 (ended Nov 30, 2025), it came in at $17.31 million, up 46.5% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 50.0% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at $11.82 million in FY2024 (+278.4%), $3.12 million in FY2023 (-58.3%), $7.49 million in FY2022 (+20.4%) and $6.22 million in FY2021 (+172.5%).
- The fiscal Q2 2026 figure is the lowest quarterly Change in Accured Expenses in data going back to fiscal Q4 2019.
- On a year-over-year basis, Change in Accured Expenses rose in five of the last six quarters, with growth averaging 50.3%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 244.0% in fiscal Q3 2023, against a decline of 63.2% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.12 million (Q1 2026), $11.04 million (Q4 2025) and $6.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Nurix Therapeutics | 2.42 Bn | 414.36 Mn | - | -15.25 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -15.25 Mn |
| Feb 28, 2026 | 4.12 Mn |
| Nov 30, 2025 | 11.04 Mn |
| Aug 31, 2025 | 6.34 Mn |
| May 31, 2025 | -7.01 Mn |
| Feb 28, 2025 | 6.94 Mn |
| Nov 30, 2024 | 9.02 Mn |
| Aug 31, 2024 | 6.04 Mn |
| May 31, 2024 | -6.84 Mn |
| Feb 29, 2024 | 3.59 Mn |
| Nov 30, 2023 | 3.08 Mn |
| Aug 31, 2023 | 4.70 Mn |
| May 31, 2023 | 2.26 Mn |
| Feb 28, 2023 | -6.91 Mn |
| Nov 30, 2022 | 3.30 Mn |
| Aug 31, 2022 | 1.37 Mn |
| May 31, 2022 | 6.14 Mn |
| Feb 28, 2022 | -3.32 Mn |
| Nov 30, 2021 | 3.38 Mn |
| Aug 31, 2021 | 3.53 Mn |
Nurix Therapeutics 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=NRIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NRIX", "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=NRIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();