Korsana Biosciences (KRSA) Capital Expenditures (2018 - 2020)
Korsana Biosciences' Capital Expenditures was $7,000 in FY2021, down 99.5% from $1.52 million in FY2020.
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Analysis
Korsana Biosciences (KRSA) Capital Expenditures (2018 - 2020) Analysis & Trends
From FY2018 onward, Korsana Biosciences has reported Capital Expenditures for 4 years.
- Capital Expenditures shows a three-year compound annual growth rate of -87.3% (FY2018 to FY2021).
- Per Business Quant data, Capital Expenditures in earlier years was $1.52 million in FY2020 (-77.9%), $6.89 million in FY2019 (+100.3%) and $3.44 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Korsana Biosciences | 17.95 Mn | 3.49 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 35,000.00 |
| Sep 30, 2020 | 9,000.00 |
| Jun 30, 2020 | 75,000.00 |
| Mar 31, 2020 | 1.41 Mn |
| Dec 31, 2019 | 174,000.00 |
| Sep 30, 2019 | 653,000.00 |
| Jun 30, 2019 | 4.25 Mn |
| Mar 31, 2019 | 1.81 Mn |
| Dec 31, 2018 | 1.82 Mn |
| Sep 30, 2018 | 1.16 Mn |
| Jun 30, 2018 | 300,000.00 |
| Mar 31, 2018 | 162,000.00 |
API Access
Korsana Biosciences Capital Expenditures 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=capital-expenditures&ticker=KRSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=KRSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();