Processa Pharmaceuticals (PCSA) Long-Term Debt Repayments (2012 - 2025)
Processa Pharmaceuticals' Long-Term Debt Repayments came in at $6,602 for FY2025, up 26.9% from $5,202 in FY2024.
Analysis
Processa Pharmaceuticals (PCSA) Long-Term Debt Repayments (2012 - 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 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | - |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 3.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 19.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | Processa Pharmaceuticals | 5.21 Mn | -8.53 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 |
| Dec 31, 2014 | 13,861.00 |
| Sep 30, 2014 | 12,982.00 |
| Jun 30, 2014 | 258,228.00 |
| Mar 31, 2014 | 260,457.00 |
| Dec 31, 2013 | 509,893.00 |
| Sep 30, 2013 | 256,845.00 |
| Jun 30, 2013 | 6,782.00 |
| Mar 31, 2013 | 6,737.00 |
| Dec 31, 2012 | 8,914.00 |
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_KEY
import 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();