Korsana Biosciences (KRSA) Operating Expenses (2018 - 2025)
Korsana Biosciences (KRSA) recorded Operating Expenses of $1.88 million in Q3 2025, up 42.3% from $1.32 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Korsana Biosciences (KRSA) Operating Expenses (2018 - 2025) Analysis & Trends
On a TTM basis, Korsana Biosciences' Operating Expenses came in at $6.49 million as of Sep 30, 2025, up 6.0% year-over-year; for FY2024, it came in at $5.63 million, down 56.5% from FY2023.
- Annual Operating Expenses has declined for five straight years, with a five-year compound annual growth rate of -46.6% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $12.95 million in FY2023 (-31.2%), $18.84 million in FY2022 (-68.1%), $59.14 million in FY2021 (-29.2%) and $83.56 million in FY2020 (-35.5%).
- The Q3 2025 figure is the highest quarterly Operating Expenses since Q3 2023.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 22.1%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 42.3% in Q3 2025, against a decline of 86.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.77 million (Q2 2025), $1.54 million (Q1 2025) and $1.3 million (Q4 2024).
Peer Set
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 | Korsana Biosciences | 16.27 Mn | 1.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.88 Mn |
| Jun 30, 2025 | 1.77 Mn |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.38 Mn |
| Mar 31, 2024 | 1.62 Mn |
| Dec 31, 2023 | 1.80 Mn |
| Sep 30, 2023 | 6.02 Mn |
| Jun 30, 2023 | 1.87 Mn |
| Mar 31, 2023 | 3.28 Mn |
| Dec 31, 2022 | 4.46 Mn |
| Sep 30, 2022 | 4.52 Mn |
| Jun 30, 2022 | 13.74 Mn |
| Mar 31, 2022 | 13.70 Mn |
| Dec 31, 2021 | 14.87 Mn |
| Sep 30, 2021 | 11.63 Mn |
| Jun 30, 2021 | 19.18 Mn |
| Mar 31, 2021 | 13.46 Mn |
| Dec 31, 2020 | 19.36 Mn |
API Access
Korsana Biosciences 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=KRSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KRSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();