CRISPR Therapeutics AG (CRSP) Total Liabilities (2015 - 2026)
CRISPR Therapeutics AG (CRSP) posted Total Liabilities of $904.22 million for Q2 2026, up 183.8% from $318.59 million a year earlier but down 0.8% from the prior quarter.
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Analysis
CRISPR Therapeutics AG (CRSP) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, CRISPR Therapeutics AG's Total Liabilities came in at $343.43 million, up 10.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In prior years, CRISPR Therapeutics AG's Total Liabilities was $309.95 million in FY2024 (-10.6%), $346.77 million in FY2023 (-5.7%), $367.58 million in FY2022 (+4.3%) and $352.42 million in FY2021 (+115.2%).
- Quarterly Total Liabilities has run from a low of $308.8 million in Q3 2021 to a high of $911.26 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 41.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 183.8%; the weakest was Q3 2024, with a decline of 11.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $911.26 million (Q1 2026), $343.43 million (Q4 2025) and $329.33 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 | CRISPR Therapeutics AG | 5.23 Bn | 5.23 Bn | - | 904.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 904.22 Mn |
| Mar 31, 2026 | 911.26 Mn |
| Dec 31, 2025 | 343.43 Mn |
| Sep 30, 2025 | 329.33 Mn |
| Jun 30, 2025 | 318.59 Mn |
| Mar 31, 2025 | 336.94 Mn |
| Dec 31, 2024 | 309.95 Mn |
| Sep 30, 2024 | 316.47 Mn |
| Jun 30, 2024 | 358.90 Mn |
| Mar 31, 2024 | 355.08 Mn |
| Dec 31, 2023 | 346.77 Mn |
| Sep 30, 2023 | 359.04 Mn |
| Jun 30, 2023 | 380.99 Mn |
| Mar 31, 2023 | 389.47 Mn |
| Dec 31, 2022 | 367.58 Mn |
| Sep 30, 2022 | 399.40 Mn |
| Jun 30, 2022 | 372.53 Mn |
| Mar 31, 2022 | 361.26 Mn |
| Dec 31, 2021 | 352.42 Mn |
| Sep 30, 2021 | 308.80 Mn |
API Access
CRISPR Therapeutics AG 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=CRSP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CRSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();