Jasper Therapeutics (JSPR) Accumulated Expenses (2020 - 2023)
Jasper Therapeutics (JSPR) posted Accumulated Expenses of $100,000 for Q2 2023, down 96.5% from $2.84 million a year earlier.
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Analysis
Jasper Therapeutics (JSPR) Accumulated Expenses (2020 - 2023) Analysis & Trends
At the end of FY2022, Jasper Therapeutics' Accumulated Expenses came in at $4.43 million, up 23.2% from FY2021.
- In prior years, Jasper Therapeutics' Accumulated Expenses was $3.6 million in FY2021 (+38.6%) and $2.6 million in FY2020.
- The Q2 2023 figure stands as the lowest quarterly Accumulated Expenses in data going back to Q4 2020.
- On a year-over-year basis, Accumulated Expenses increased in two of the last four quarters, with an average decline of 20.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Jasper Therapeutics | 14.04 Mn | -112.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 100,000.00 |
| Dec 31, 2022 | 4.43 Mn |
| Sep 30, 2022 | 3.46 Mn |
| Jun 30, 2022 | 2.84 Mn |
| Mar 31, 2022 | 3.98 Mn |
| Dec 31, 2021 | 3.60 Mn |
| Sep 30, 2021 | 8.92 Mn |
| Dec 31, 2020 | 2.60 Mn |
API Access
Jasper Therapeutics 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=accumulated-expenses&ticker=JSPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "JSPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=JSPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();