Korsana Biosciences (KRSA) Total Current Liabilities (2018 - 2025)
Korsana Biosciences' Total Current Liabilities came in at $900,000 for Q4 2025, up 24.1% from $725,000 a year earlier and up 2.6% from the prior quarter.
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Analysis
Korsana Biosciences (KRSA) Total Current Liabilities (2018 - 2025) Analysis & Trends
Going back to Q4 2018, Korsana Biosciences' Total Current Liabilities data covers 29 quarters.
- Total Current Liabilities carries a five-year compound annual growth rate of -44.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $725,000 in FY2024 (-65.2%), $2.09 million in FY2023 (-72.6%), $7.63 million in FY2022 (-31.2%) and $11.09 million in FY2021 (-34.6%).
- The five-year range for quarterly Total Current Liabilities is $700,000 (Q3 2024) to $13.47 million (Q1 2021).
- Year-over-year, Total Current Liabilities increased in two of the last eight quarters, with an average decline of 38.1%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2025 (growth of 25.3%), and the weakest in Q1 2024 (a decline of 80.9%).
- Business Quant data shows KRSA's Total Current Liabilities at $877,000 (Q3 2025), $800,000 (Q2 2025) and $1.07 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Korsana Biosciences | 16.27 Mn | 1.82 Mn | - | 900,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 900,000.00 |
| Sep 30, 2025 | 877,000.00 |
| Jun 30, 2025 | 800,000.00 |
| Mar 31, 2025 | 1.07 Mn |
| Dec 31, 2024 | 725,000.00 |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | 1.28 Mn |
| Mar 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 2.09 Mn |
| Sep 30, 2023 | 2.34 Mn |
| Jun 30, 2023 | 4.95 Mn |
| Mar 31, 2023 | 7.53 Mn |
| Dec 31, 2022 | 7.63 Mn |
| Sep 30, 2022 | 8.53 Mn |
| Jun 30, 2022 | 9.85 Mn |
| Mar 31, 2022 | 9.49 Mn |
| Dec 31, 2021 | 11.09 Mn |
| Sep 30, 2021 | 11.36 Mn |
| Jun 30, 2021 | 10.51 Mn |
| Mar 31, 2021 | 13.47 Mn |
API Access
Korsana Biosciences Total Current 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-current-liabilities&ticker=KRSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=KRSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();