ProQR Therapeutics (PRQR) Other Accumulated Expenses (2013 - 2026)
ProQR Therapeutics (PRQR) reported Other Accumulated Expenses of $11.84 million for the quarter ended Jun 30, 2026, up 41.2% from $8.38 million a year earlier and up 20.1% from the prior quarter.
ProQR Therapeutics (PRQR) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, ProQR Therapeutics posted Other Accumulated Expenses of $8.97 million, down 6.3% from the prior year.
- Other Accumulated Expenses has a five-year compound annual growth rate of 5.1% (years ended Dec 2020 to Dec 2025).
- By year, Other Accumulated Expenses came in at $9.58 million in the year ended Dec 31, 2024 (+4.1%), $9.2 million in the year ended Dec 31, 2023 (+0.5%), $9.16 million in the year ended Dec 31, 2022 (-28.1%) and $12.73 million in the year ended Dec 31, 2021 (+82.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Other Accumulated Expenses since the quarter ended Sep 30, 2022.
- Year over year, Other Accumulated Expenses gained in seven of the last eight quarters, with growth averaging 25.7%.
- The high point for year-over-year Other Accumulated Expenses in five years was the quarter ended Dec 31, 2021 (growth of 68.7%); the low point was the quarter ended Sep 30, 2023 (a decline of 62.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $9.86 million (quarter ended Mar 31, 2026), $9.24 million (quarter ended Dec 31, 2025) and $10 million (quarter ended Sep 30, 2025).
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 | ProQR Therapeutics | 171.74 Mn | -291.86 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.84 Mn |
| Mar 31, 2026 | 9.86 Mn |
| Dec 31, 2025 | 9.24 Mn |
| Sep 30, 2025 | 10.00 Mn |
| Jun 30, 2025 | 8.38 Mn |
| Mar 31, 2025 | 7.65 Mn |
| Dec 31, 2024 | 9.46 Mn |
| Sep 30, 2024 | 8.17 Mn |
| Jun 30, 2024 | 6.11 Mn |
| Mar 31, 2024 | 6.44 Mn |
| Dec 31, 2023 | 9.16 Mn |
| Sep 30, 2023 | 5.24 Mn |
| Jun 30, 2023 | 4.39 Mn |
| Mar 31, 2023 | 5.27 Mn |
| Dec 31, 2022 | 8.86 Mn |
| Sep 30, 2022 | 13.81 Mn |
| Jun 30, 2022 | 10.17 Mn |
| Mar 31, 2022 | 9.00 Mn |
| Dec 31, 2021 | 12.31 Mn |
| Sep 30, 2021 | 9.21 Mn |
ProQR Therapeutics 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=PRQR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=PRQR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();