Processa Pharmaceuticals (PCSA) Long-Term Debt Repayments (2013 - 2025)
Processa Pharmaceuticals' Long-Term Debt Repayments came in at $6,602 for FY2025, up 26.9% from $5,202 in FY2024.
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Analysis
Processa Pharmaceuticals (PCSA) Long-Term Debt Repayments (2013 - 2025) Analysis & Trends
Going back to FY2012, Processa Pharmaceuticals' Long-Term Debt Repayments data covers 6 years.
- The FY2025 figure represents the highest annual Long-Term Debt Repayments since FY2015.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $5,202 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Processa Pharmaceuticals | 4.58 Mn | 4.58 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3,752.00 |
| Jun 30, 2025 | 1,314.00 |
| Mar 31, 2025 | 1,536.00 |
| Dec 31, 2024 | 1,464.00 |
| Sep 30, 2024 | 1,437.00 |
| Jun 30, 2024 | 1,406.00 |
| Mar 31, 2024 | 895.00 |
| Sep 30, 2015 | -8,130.00 |
| Jun 30, 2015 | 14,068.00 |
| Mar 31, 2015 | 13,964.00 |
| Jun 30, 2014 | 250,000.00 |
| Mar 31, 2014 | 250,000.00 |
| Dec 31, 2013 | 249,982.00 |
| Sep 30, 2013 | 236,499.00 |
| Jun 30, 2013 | 6,782.00 |
| Mar 31, 2013 | 6,737.00 |
API Access
Processa Pharmaceuticals 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=PCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PCSA", "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=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();