Korsana Biosciences (KRSA) Cash & Equivalents (2019 - 2025)
Korsana Biosciences (KRSA) posted Cash & Equivalents of $3.24 million for Q4 2025, up 0.2% from $3.23 million a year earlier but down 29.1% from the prior quarter.
Korsana Biosciences (KRSA) Cash & Equivalents (2019 - 2025) Analysis & Trends
Since Q2 2019, Korsana Biosciences has reported Cash & Equivalents for 27 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -43.1% (FY2020 to FY2025).
- In prior years, Korsana Biosciences' Cash & Equivalents was $3.23 million in FY2024 (-57.3%), $7.57 million in FY2023 (-43.4%), $13.38 million in FY2022 (-75.2%) and $53.96 million in FY2021 (-0.8%).
- Quarterly Cash & Equivalents has run from a low of $2.87 million in Q3 2024 to a high of $70.39 million in Q2 2021 over five years.
- On a year-over-year basis, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 22.0%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 59.1%; the weakest was Q1 2023, with a decline of 82.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $4.57 million (Q3 2025), $3.01 million (Q2 2025) and $3.64 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Korsana Biosciences | 16.10 Mn | 1.64 Mn | - | 3.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.24 Mn |
| Sep 30, 2025 | 4.57 Mn |
| Jun 30, 2025 | 3.01 Mn |
| Mar 31, 2025 | 3.64 Mn |
| Dec 31, 2024 | 3.23 Mn |
| Sep 30, 2024 | 2.87 Mn |
| Jun 30, 2024 | 4.59 Mn |
| Mar 31, 2024 | 5.70 Mn |
| Dec 31, 2023 | 7.57 Mn |
| Sep 30, 2023 | 9.11 Mn |
| Jun 30, 2023 | 5.64 Mn |
| Mar 31, 2023 | 7.17 Mn |
| Dec 31, 2022 | 13.38 Mn |
| Sep 30, 2022 | 20.41 Mn |
| Jun 30, 2022 | 30.32 Mn |
| Mar 31, 2022 | 41.13 Mn |
| Dec 31, 2021 | 53.96 Mn |
| Sep 30, 2021 | 62.50 Mn |
| Jun 30, 2021 | 70.39 Mn |
| Mar 31, 2021 | 41.43 Mn |
Korsana Biosciences Cash & Equivalents 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=cash-and-equivalents&ticker=KRSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "KRSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=KRSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();