Nurix Therapeutics (NRIX) Total Liabilities (2019 - 2026)
Nurix Therapeutics (NRIX) reported Total Liabilities of $226.99 million for fiscal Q3 2026 (quarter ended Aug 31, 2026), up 51.1% from $150.22 million a year earlier and up 70.8% from the prior quarter.
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Analysis
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 Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2019.
- Year over year, Total Liabilities gained in five of the last eight quarters, with growth averaging 7.7%.
- 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 Q3 2026 came in at $132.91 million (Q2 2026), $155.24 million (Q1 2026) and $149.39 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Nurix Therapeutics | 1.73 Bn | -891.35 Mn | - | 226.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 226.99 Mn |
| 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 |
API Access
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_KEYimport 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();