CRISPR Therapeutics AG (CRSP) Operating Expenses (2015 - 2026)
CRISPR Therapeutics AG (CRSP) posted Operating Expenses of $127.45 million for Q2 2026, down 44.6% from $230.22 million a year earlier and down 3.2% from the prior quarter.
CRISPR Therapeutics AG (CRSP) Operating Expenses (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at CRISPR Therapeutics AG was $547.73 million, down 7.2% year-over-year; for FY2025, it came in at $668.08 million, up 32.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior years, CRISPR Therapeutics AG's Operating Expenses was $503.88 million in FY2024 (-15.1%), $593.74 million in FY2023 (-12.0%), $674.36 million in FY2022 (+24.6%) and $541.44 million in FY2021 (+52.5%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 4.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 55.2%; the weakest was Q2 2026, with a decline of 44.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $131.71 million (Q1 2026), $155.63 million (Q4 2025) and $132.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | CRISPR Therapeutics AG | 5.23 Bn | 5.23 Bn | - | 127.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.45 Mn |
| Mar 31, 2026 | 131.71 Mn |
| Dec 31, 2025 | 155.63 Mn |
| Sep 30, 2025 | 132.95 Mn |
| Jun 30, 2025 | 230.22 Mn |
| Mar 31, 2025 | 149.29 Mn |
| Dec 31, 2024 | 100.28 Mn |
| Sep 30, 2024 | 110.73 Mn |
| Jun 30, 2024 | 151.78 Mn |
| Mar 31, 2024 | 141.09 Mn |
| Dec 31, 2023 | 131.62 Mn |
| Sep 30, 2023 | 132.41 Mn |
| Jun 30, 2023 | 165.22 Mn |
| Mar 31, 2023 | 164.49 Mn |
| Dec 31, 2022 | 131.55 Mn |
| Sep 30, 2022 | 182.48 Mn |
| Jun 30, 2022 | 183.42 Mn |
| Mar 31, 2022 | 176.91 Mn |
| Dec 31, 2021 | 158.60 Mn |
| Sep 30, 2021 | 129.67 Mn |
CRISPR Therapeutics AG 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=CRSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRSP", "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=CRSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();