Ptc Therapeutics (PTCT) Total Debt (2012 - 2026)
Ptc Therapeutics (PTCT) posted Total Debt of $855.35 million for Q3 2026, up 56.4% from $546.93 million a year earlier but down 5.5% from the prior quarter.
Ptc Therapeutics (PTCT) Total Debt (2012 - 2026) Analysis & Trends
At the end of FY2025, Ptc Therapeutics' Total Debt came in at $569.63 million, up 4.9% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, Ptc Therapeutics' Total Debt was $543.23 million in FY2024 (+13.5%), $478.53 million in FY2023 (-25.7%), $643.87 million in FY2022 (+31.2%) and $490.73 million in FY2021 (+48.6%).
- Quarterly Total Debt has run from a low of $360.71 million in Q3 2022 to a high of $905.19 million in Q2 2026 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last eight quarters, with growth averaging 19.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q3 2023, with growth of 88.2%; the weakest was Q4 2023, with a decline of 25.7%.
- According to Business Quant data, Total Debt for the three prior quarters was $905.19 million (Q2 2026), $591.98 million (Q1 2026) and $569.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -6.68 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Ptc Therapeutics | 5.36 Bn | -2.84 Bn | 334.14 Mn | 855.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 855.35 Mn |
| Jun 30, 2026 | 905.19 Mn |
| Mar 31, 2026 | 591.98 Mn |
| Dec 31, 2025 | 569.63 Mn |
| Sep 30, 2025 | 546.93 Mn |
| Jun 30, 2025 | 548.03 Mn |
| Mar 31, 2025 | 533.95 Mn |
| Dec 31, 2024 | 543.23 Mn |
| Sep 30, 2024 | 542.72 Mn |
| Jun 30, 2024 | 539.80 Mn |
| Mar 31, 2024 | 511.61 Mn |
| Dec 31, 2023 | 478.53 Mn |
| Sep 30, 2023 | 679.02 Mn |
| Jun 30, 2023 | 677.99 Mn |
| Mar 31, 2023 | 669.97 Mn |
| Dec 31, 2022 | 643.87 Mn |
| Sep 30, 2022 | 360.71 Mn |
| Jun 30, 2022 | 506.39 Mn |
| Mar 31, 2022 | 501.84 Mn |
| Dec 31, 2021 | 490.73 Mn |
Ptc Therapeutics Total Debt 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-debt&ticker=PTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=PTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();