CRISPR Therapeutics AG (CRSP) Operating Leases (2019 - 2026)
CRISPR Therapeutics AG (CRSP) posted Operating Leases of $178.9 million for Q2 2026, down 9.4% from $197.43 million a year earlier and down 2.5% from the prior quarter.
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Analysis
CRISPR Therapeutics AG (CRSP) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, CRISPR Therapeutics AG's Operating Leases came in at $188.17 million, down 8.8% from FY2024.
- Annual Operating Leases has declined for three consecutive years, though with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- In prior years, CRISPR Therapeutics AG's Operating Leases was $206.41 million in FY2024 (-7.4%), $223.01 million in FY2023 (-2.3%), $228.18 million in FY2022 (+7.2%) and $212.87 million in FY2021 (+325.2%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases since Q2 2021.
- On a year-over-year basis, Operating Leases has declined in each of the last 14 quarters, with an average decline of 8.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2021, with growth of 399.7%; the weakest was Q2 2026, with a decline of 9.4%.
- According to Business Quant data, Operating Leases for the three prior quarters was $183.56 million (Q1 2026), $188.17 million (Q4 2025) and $192.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | CRISPR Therapeutics AG | 5.23 Bn | 5.23 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.90 Mn |
| Mar 31, 2026 | 183.56 Mn |
| Dec 31, 2025 | 188.17 Mn |
| Sep 30, 2025 | 192.77 Mn |
| Jun 30, 2025 | 197.43 Mn |
| Mar 31, 2025 | 201.85 Mn |
| Dec 31, 2024 | 206.41 Mn |
| Sep 30, 2024 | 210.66 Mn |
| Jun 30, 2024 | 214.85 Mn |
| Mar 31, 2024 | 218.94 Mn |
| Dec 31, 2023 | 223.01 Mn |
| Sep 30, 2023 | 226.59 Mn |
| Jun 30, 2023 | 230.34 Mn |
| Mar 31, 2023 | 224.55 Mn |
| Dec 31, 2022 | 228.18 Mn |
| Sep 30, 2022 | 230.90 Mn |
| Jun 30, 2022 | 234.16 Mn |
| Mar 31, 2022 | 227.90 Mn |
| Dec 31, 2021 | 212.87 Mn |
| Sep 30, 2021 | 192.73 Mn |
API Access
CRISPR Therapeutics AG Operating Leases 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-leases&ticker=CRSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=CRSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();