Korsana Biosciences (KRSA) Other Accumulated Expenses (2018 - 2020)
Korsana Biosciences (KRSA) reported Other Accumulated Expenses of $286,000 for Q4 2020, up 253.1% from $81,000 a year earlier but down 42.2% from the prior quarter.
Korsana Biosciences (KRSA) Other Accumulated Expenses (2018 - 2020) Analysis & Trends
Dating back to Q4 2018, Korsana Biosciences' Other Accumulated Expenses record includes 9 quarters.
- By year, Other Accumulated Expenses came in at $81,000 in FY2019 (-99.2%) and $9.8 million in FY2018.
- Five-year quarterly Other Accumulated Expenses spans a low of $59,000 in Q1 2020 and a high of $9.8 million in Q4 2018.
- Year over year, Other Accumulated Expenses gained in two of the last five quarters, with growth averaging 27.8%.
- Per Business Quant data, the three quarters before Q4 2020 came in at $495,000 (Q3 2020), $375,000 (Q2 2020) and $59,000 (Q1 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Korsana Biosciences | 16.10 Mn | 1.64 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 286,000.00 |
| Sep 30, 2020 | 495,000.00 |
| Jun 30, 2020 | 375,000.00 |
| Mar 31, 2020 | 59,000.00 |
| Dec 31, 2019 | 81,000.00 |
| Sep 30, 2019 | 187,000.00 |
| Jun 30, 2019 | 1.92 Mn |
| Mar 31, 2019 | 5.56 Mn |
| Dec 31, 2018 | 9.80 Mn |
Korsana Biosciences Other Accumulated 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=other-accumulated-expenses&ticker=KRSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=KRSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();