ProQR Therapeutics (PRQR) Accumulated Expenses (2014 - 2022)
ProQR Therapeutics (PRQR) posted Accumulated Expenses of $8.86 million for the quarter ended Dec 31, 2022, down 28.0% from $12.31 million a year earlier.
ProQR Therapeutics (PRQR) Accumulated Expenses (2014 - 2022) Analysis & Trends
As of Dec 31, 2022, ProQR Therapeutics' Accumulated Expenses came in at $9.16 million, down 28.1% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 11.9% (years ended Dec 2017 to Dec 2022).
- In prior years, ProQR Therapeutics' Accumulated Expenses was $12.73 million in the year ended Dec 31, 2021 (+82.3%), $6.99 million in the year ended Dec 31, 2020 (-29.2%), $9.87 million in the year ended Dec 31, 2019 (+11.8%) and $8.83 million in the year ended Dec 31, 2018 (+69.1%).
- The figure for the quarter ended Dec 31, 2022 stands as the lowest quarterly Accumulated Expenses since the quarter ended Dec 31, 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | ProQR Therapeutics | 171.74 Mn | -291.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 8.86 Mn |
| Dec 31, 2021 | 12.31 Mn |
| Dec 31, 2020 | 7.29 Mn |
| Dec 31, 2019 | 9.75 Mn |
| Dec 31, 2018 | 8.53 Mn |
| Dec 31, 2017 | 5.44 Mn |
| Dec 31, 2016 | 6.54 Mn |
| Dec 31, 2015 | 4.59 Mn |
| Dec 31, 2014 | 1.58 Mn |
ProQR 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=PRQR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PRQR", "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=PRQR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();