Nurix Therapeutics (NRIX) Accumulated Expenses (2019 - 2026)
Nurix Therapeutics' Accumulated Expenses was $63.67 million in fiscal Q3 2026 (quarter ended Aug 31, 2026), up 44.9% from $43.96 million a year earlier and up 47.2% from the prior quarter.
Nurix Therapeutics (NRIX) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Accumulated Expenses at Nurix Therapeutics came in at $54.85 million, up 44.4% from FY2024.
- Accumulated Expenses has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 45.8% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $37.99 million in FY2024 (+52.2%), $24.97 million in FY2023 (+11.3%), $22.43 million in FY2022 (+54.2%) and $14.55 million in FY2021 (+74.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2019.
- Compared with a year earlier, Accumulated Expenses has increased for 13 straight quarters, with growth averaging 45.9% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2022 (growth of 157.0%); the worst was fiscal Q2 2023 (a decline of 8.3%).
- Per Business Quant data, NRIX's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $43.27 million (Q2 2026), $59.95 million (Q1 2026) and $54.85 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Nurix Therapeutics | 1.73 Bn | -891.35 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 63.67 Mn |
| May 31, 2026 | 43.27 Mn |
| Feb 28, 2026 | 59.95 Mn |
| Nov 30, 2025 | 54.85 Mn |
| Aug 31, 2025 | 43.96 Mn |
| May 31, 2025 | 37.01 Mn |
| Feb 28, 2025 | 44.36 Mn |
| Nov 30, 2024 | 37.99 Mn |
| Aug 31, 2024 | 27.83 Mn |
| May 31, 2024 | 23.26 Mn |
| Feb 29, 2024 | 28.32 Mn |
| Nov 30, 2023 | 24.97 Mn |
| Aug 31, 2023 | 21.91 Mn |
| May 31, 2023 | 18.09 Mn |
| Feb 28, 2023 | 15.39 Mn |
| Nov 30, 2022 | 22.43 Mn |
| Aug 31, 2022 | 19.61 Mn |
| May 31, 2022 | 19.73 Mn |
| Feb 28, 2022 | 11.42 Mn |
| Nov 30, 2021 | 14.55 Mn |
Nurix Therapeutics Accumulated 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=accumulated-expenses&ticker=NRIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NRIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();