ProQR Therapeutics (PRQR) Operating Leases (2019 - 2026)
ProQR Therapeutics (PRQR) posted Operating Leases of $10.1 million for the quarter ended Jun 30, 2026, down 14.8% from $11.86 million a year earlier and down 4.9% from the prior quarter.
ProQR Therapeutics (PRQR) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, ProQR Therapeutics' Operating Leases came in at $10.79 million, down 10.0% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of -9.7% (years ended Dec 2020 to Dec 2025).
- In prior years, ProQR Therapeutics' Operating Leases was $11.98 million in the year ended Dec 31, 2024 (-19.9%), $14.96 million in the year ended Dec 31, 2023 (+2.7%), $14.56 million in the year ended Dec 31, 2022 (-16.6%) and $17.45 million in the year ended Dec 31, 2021 (-2.6%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Leases since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Operating Leases has declined in each of the last four quarters, with growth averaging 223.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Sep 30, 2024, with growth of 684.0%; the weakest was the quarter ended Dec 31, 2024, with a decline of 20.5%.
- According to Business Quant data, Operating Leases for the three prior quarters was $10.62 million (quarter ended Mar 31, 2026), $11.11 million (quarter ended Dec 31, 2025) and $11.71 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | ProQR Therapeutics | 138.02 Mn | -322.63 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.93 Mn |
| Mar 31, 2026 | 10.40 Mn |
| Dec 31, 2025 | 11.22 Mn |
| Sep 30, 2025 | 11.75 Mn |
| Jun 30, 2025 | 12.29 Mn |
| Mar 31, 2025 | 11.62 Mn |
| Dec 31, 2024 | 11.52 Mn |
| Sep 30, 2024 | 12.85 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | 14.44 Mn |
| Dec 31, 2023 | 15.31 Mn |
| Sep 30, 2023 | 15.37 Mn |
| Jun 30, 2023 | 14.89 Mn |
| Mar 31, 2023 | 14.65 Mn |
| Dec 31, 2022 | 14.73 Mn |
| Sep 30, 2022 | 13.95 Mn |
| Jun 30, 2022 | 15.21 Mn |
| Mar 31, 2022 | 16.05 Mn |
| Dec 31, 2021 | 16.70 Mn |
| Sep 30, 2021 | 17.53 Mn |
ProQR Therapeutics Operating Leases 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=operating-leases&ticker=PRQR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PRQR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();