Ptc Therapeutics (PTCT) Operating Expenses (2012 - 2026)
Ptc Therapeutics (PTCT) posted Operating Expenses of $211.54 million for Q2 2026, down 1.1% from $213.83 million a year earlier and down 7.1% from the prior quarter.
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Analysis
Ptc Therapeutics (PTCT) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Ptc Therapeutics was $883.15 million, down 15.6% year-over-year; for FY2025, it was $863.72 million, down 22.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In prior years, Ptc Therapeutics' Operating Expenses was $1.11 billion in FY2024 (-19.5%), $1.38 billion in FY2023 (+20.2%), $1.15 billion in FY2022 (+25.5%) and $913.04 million in FY2021 (+12.4%).
- Quarterly Operating Expenses has run from a low of $205.87 million in Q1 2025 to a high of $423.35 million in Q2 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 8.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 64.2%; the weakest was Q2 2024, with a decline of 46.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $227.59 million (Q1 2026), $236.03 million (Q4 2025) and $207.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Ptc Therapeutics | 5.50 Bn | -2.26 Bn | 340.60 Mn | 211.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 211.54 Mn |
| Mar 31, 2026 | 227.59 Mn |
| Dec 31, 2025 | 236.03 Mn |
| Sep 30, 2025 | 207.99 Mn |
| Jun 30, 2025 | 213.83 Mn |
| Mar 31, 2025 | 205.87 Mn |
| Dec 31, 2024 | 375.56 Mn |
| Sep 30, 2024 | 251.30 Mn |
| Jun 30, 2024 | 226.92 Mn |
| Mar 31, 2024 | 255.57 Mn |
| Dec 31, 2023 | 301.24 Mn |
| Sep 30, 2023 | 314.74 Mn |
| Jun 30, 2023 | 423.35 Mn |
| Mar 31, 2023 | 338.00 Mn |
| Dec 31, 2022 | 367.75 Mn |
| Sep 30, 2022 | 285.31 Mn |
| Jun 30, 2022 | 257.89 Mn |
| Mar 31, 2022 | 235.26 Mn |
| Dec 31, 2021 | 249.96 Mn |
| Sep 30, 2021 | 231.82 Mn |
API Access
Ptc Therapeutics Operating Expenses 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=operating-expenses&ticker=PTCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();