Crinetics Pharmaceuticals (CRNX) Total Liabilities (2017 - 2026)
Crinetics Pharmaceuticals (CRNX) posted Total Liabilities of $129.92 million for Q2 2026, up 10.1% from $118.05 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Crinetics Pharmaceuticals (CRNX) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Crinetics Pharmaceuticals' Total Liabilities came in at $134.17 million, up 22.2% from FY2024.
- Annual Total Liabilities has increased for seven consecutive years, with a five-year compound annual growth rate of 56.0% (FY2020 to FY2025).
- In prior years, Crinetics Pharmaceuticals' Total Liabilities was $109.79 million in FY2024 (+14.1%), $96.25 million in FY2023 (+168.5%), $35.85 million in FY2022 (+88.0%) and $19.07 million in FY2021 (+31.3%).
- Quarterly Total Liabilities has run from a low of $15.77 million in Q3 2021 to a high of $134.17 million in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 21 quarters, with growth averaging 13.2% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 4.0% (Q1 2025) and 206.5% (Q1 2024) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $120.68 million (Q1 2026), $134.17 million (Q4 2025) and $123.86 million (Q3 2025).
Peer Set
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 | Crinetics Pharmaceuticals | 8.99 Bn | 8.99 Bn | 24.96 Mn | 129.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.92 Mn |
| Mar 31, 2026 | 120.68 Mn |
| Dec 31, 2025 | 134.17 Mn |
| Sep 30, 2025 | 123.86 Mn |
| Jun 30, 2025 | 118.05 Mn |
| Mar 31, 2025 | 107.33 Mn |
| Dec 31, 2024 | 109.79 Mn |
| Sep 30, 2024 | 104.39 Mn |
| Jun 30, 2024 | 104.77 Mn |
| Mar 31, 2024 | 103.22 Mn |
| Dec 31, 2023 | 96.25 Mn |
| Sep 30, 2023 | 93.79 Mn |
| Jun 30, 2023 | 39.14 Mn |
| Mar 31, 2023 | 33.68 Mn |
| Dec 31, 2022 | 35.85 Mn |
| Sep 30, 2022 | 33.51 Mn |
| Jun 30, 2022 | 35.57 Mn |
| Mar 31, 2022 | 30.24 Mn |
| Dec 31, 2021 | 19.07 Mn |
| Sep 30, 2021 | 15.77 Mn |
API Access
Crinetics Pharmaceuticals 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=CRNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CRNX", "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=CRNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();