Nurix Therapeutics (NRIX) Accumulated Expenses (2019 - 2026)
Nurix Therapeutics' Accumulated Expenses was $43.27 million in fiscal Q2 2026 (quarter ended May 31, 2026), up 16.9% from $37.01 million a year earlier but down 27.8% from the prior quarter.
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Analysis
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%).
- Quarterly Accumulated Expenses has moved between $11.42 million (fiscal Q1 2022) and $59.95 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 12 straight quarters, with growth averaging 43.7% 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 Q2 2026 was $59.95 million (Q1 2026), $54.85 million (Q4 2025) and $43.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Nurix Therapeutics | 2.46 Bn | 452.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2021 | 11.57 Mn |
API Access
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_KEYimport 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();