Nurix Therapeutics (NRIX) Total Liabilities (2019 - 2026)
Nurix Therapeutics (NRIX) reported Total Liabilities of $132.91 million for fiscal Q2 2026 (quarter ended May 31, 2026), down 7.7% from $143.95 million a year earlier and down 14.4% from the prior quarter.
Nurix Therapeutics (NRIX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 30, 2025), Nurix Therapeutics posted Total Liabilities of $149.39 million, up 4.9% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $142.35 million in FY2024 (-8.2%), $155.11 million in FY2023 (+37.2%), $113.06 million in FY2022 (-15.9%) and $134.47 million in FY2021 (+26.8%).
- The fiscal Q2 2026 figure ranks as the lowest quarterly Total Liabilities since fiscal Q3 2023.
- Year over year, Total Liabilities gained in five of the last eight quarters, with growth averaging 11.8%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2024 (growth of 83.9%); the low point was fiscal Q3 2023 (a decline of 36.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2026 came in at $155.24 million (Q1 2026), $149.39 million (Q4 2025) and $150.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Nurix Therapeutics | 2.45 Bn | 448.58 Mn | - | 132.91 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 132.91 Mn |
| Feb 28, 2026 | 155.24 Mn |
| Nov 30, 2025 | 149.39 Mn |
| Aug 31, 2025 | 150.22 Mn |
| May 31, 2025 | 143.95 Mn |
| Feb 28, 2025 | 134.13 Mn |
| Nov 30, 2024 | 142.35 Mn |
| Aug 31, 2024 | 136.74 Mn |
| May 31, 2024 | 140.34 Mn |
| Feb 29, 2024 | 143.93 Mn |
| Nov 30, 2023 | 155.11 Mn |
| Aug 31, 2023 | 74.38 Mn |
| May 31, 2023 | 90.70 Mn |
| Feb 28, 2023 | 96.10 Mn |
| Nov 30, 2022 | 113.06 Mn |
| Aug 31, 2022 | 116.79 Mn |
| May 31, 2022 | 127.57 Mn |
| Feb 28, 2022 | 131.80 Mn |
| Nov 30, 2021 | 134.47 Mn |
| Aug 31, 2021 | 117.86 Mn |
Nurix Therapeutics Total 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-liabilities&ticker=NRIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=NRIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();