Prelude Therapeutics (PRLD) Long-Term Debt Repayments (2019 - 2025)
Prelude Therapeutics' Long-Term Debt Repayments came in at $208,000 for FY2025, down 47.3% from $395,000 in FY2024.
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Analysis
Prelude Therapeutics (PRLD) Long-Term Debt Repayments (2019 - 2025) Analysis & Trends
Going back to FY2019, Prelude Therapeutics' Long-Term Debt Repayments data covers 4 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Long-Term Debt Repayments since FY2019.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $395,000 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.24 Bn | 1,102.83 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 616.05 Bn | 534.58 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 500.90 Bn | 474.01 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 367.17 Bn | 321.54 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.35 Bn | 235.03 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 235.77 Bn | 191.17 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 190.70 Bn | 164.90 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn | - |
| 10 | Prelude Therapeutics | 361.09 Mn | -236.21 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 53,000.00 |
| Mar 31, 2025 | 155,000.00 |
| Dec 31, 2024 | 151,000.00 |
| Sep 30, 2024 | 148,000.00 |
| Sep 30, 2020 | 67,000.00 |
| Jun 30, 2020 | 96,000.00 |
| Mar 31, 2020 | 95,000.00 |
| Dec 31, 2019 | 93,000.00 |
API Access
Prelude Therapeutics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PRLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PRLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PRLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();