Crinetics Pharmaceuticals (CRNX) Operating Expenses (2017 - 2026)
Crinetics Pharmaceuticals (CRNX) posted Operating Expenses of $157.58 million for Q2 2026, up 21.1% from $130.14 million a year earlier and up 4.3% from the prior quarter.
Crinetics Pharmaceuticals (CRNX) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Crinetics Pharmaceuticals was $591.25 million, up 39.3% year-over-year; for FY2025, it was $524.47 million, up 54.3% from FY2024.
- Annual Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 47.5% (FY2020 to FY2025).
- In prior years, Crinetics Pharmaceuticals' Operating Expenses was $339.89 million in FY2024 (+50.0%), $226.62 million in FY2023 (+31.3%), $172.62 million in FY2022 (+58.7%) and $108.78 million in FY2021 (+45.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2017.
- On a year-over-year basis, Operating Expenses has increased in each of the last 33 quarters, with growth averaging 46.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 21.1% in Q2 2026 to 66.7% in Q2 2022.
- According to Business Quant data, Operating Expenses for the three prior quarters was $151.11 million (Q1 2026), $139.83 million (Q4 2025) and $142.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Crinetics Pharmaceuticals | 8.99 Bn | 8.99 Bn | 24.96 Mn | 157.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.58 Mn |
| Mar 31, 2026 | 151.11 Mn |
| Dec 31, 2025 | 139.83 Mn |
| Sep 30, 2025 | 142.73 Mn |
| Jun 30, 2025 | 130.14 Mn |
| Mar 31, 2025 | 111.77 Mn |
| Dec 31, 2024 | 94.75 Mn |
| Sep 30, 2024 | 87.80 Mn |
| Jun 30, 2024 | 83.18 Mn |
| Mar 31, 2024 | 74.17 Mn |
| Dec 31, 2023 | 62.66 Mn |
| Sep 30, 2023 | 59.32 Mn |
| Jun 30, 2023 | 53.98 Mn |
| Mar 31, 2023 | 50.66 Mn |
| Dec 31, 2022 | 48.27 Mn |
| Sep 30, 2022 | 43.91 Mn |
| Jun 30, 2022 | 43.48 Mn |
| Mar 31, 2022 | 36.96 Mn |
| Dec 31, 2021 | 31.97 Mn |
| Sep 30, 2021 | 27.81 Mn |
Crinetics Pharmaceuticals Operating 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=operating-expenses&ticker=CRNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CRNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();