Ptc Therapeutics (PTCT) Total Non-Current Liabilities (2012 - 2026)
Ptc Therapeutics' Total Non-Current Liabilities was $1.41 billion in Q2 2026, up 39.9% from $1.01 billion a year earlier and up 37.1% from the prior quarter.
Ptc Therapeutics (PTCT) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Ptc Therapeutics came in at $1.08 billion, up 10.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $979.14 million in FY2024 (-10.5%), $1.09 billion in FY2023 (-19.9%), $1.37 billion in FY2022 (+8.3%) and $1.26 billion in FY2021 (+18.2%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with growth averaging 13.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2025 (growth of 165.1%); the worst was Q1 2026 (a decline of 63.8%).
- Per Business Quant data, PTCT's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.03 billion (Q1 2026), $1.08 billion (Q4 2025) and $978.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Ptc Therapeutics | 5.50 Bn | -2.26 Bn | 340.60 Mn | 1.41 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.41 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.08 Bn |
| Sep 30, 2025 | 978.15 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 2.84 Bn |
| Dec 31, 2024 | 979.14 Mn |
| Sep 30, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 1.09 Bn |
| Sep 30, 2023 | 1.27 Bn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.12 Bn |
| Jun 30, 2022 | 1.31 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 1.26 Bn |
| Sep 30, 2021 | 1.23 Bn |
Ptc Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PTCT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=PTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();