Ptc Therapeutics (PTCT) Selling, General & Administrative (2012 - 2026)
Ptc Therapeutics (PTCT) recorded Selling, General & Administrative of $80.63 million in Q2 2026, down 5.4% from $85.26 million a year earlier and down 6.4% from the prior quarter.
Ptc Therapeutics (PTCT) Selling, General & Administrative (2012 - 2026) Analysis & Trends
On a TTM basis, Ptc Therapeutics' Selling, General & Administrative came in at $347.73 million as of Jun 30, 2026, up 7.2% year-over-year; for FY2025, it came in at $347.14 million, up 15.4% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $300.91 million in FY2024 (-9.5%), $332.54 million in FY2023 (+2.0%), $326 million in FY2022 (+14.1%) and $285.77 million in FY2021 (+16.6%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q3 2024.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 8.1%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 22.7% in Q2 2025, against a decline of 21.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $86.18 million (Q1 2026), $96.87 million (Q4 2025) and $84.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Ptc Therapeutics | 5.34 Bn | -2.41 Bn | 340.60 Mn | 80.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.63 Mn |
| Mar 31, 2026 | 86.18 Mn |
| Dec 31, 2025 | 96.87 Mn |
| Sep 30, 2025 | 84.05 Mn |
| Jun 30, 2025 | 85.26 Mn |
| Mar 31, 2025 | 80.96 Mn |
| Dec 31, 2024 | 84.68 Mn |
| Sep 30, 2024 | 73.46 Mn |
| Jun 30, 2024 | 69.50 Mn |
| Mar 31, 2024 | 73.27 Mn |
| Dec 31, 2023 | 76.29 Mn |
| Sep 30, 2023 | 80.89 Mn |
| Jun 30, 2023 | 88.45 Mn |
| Mar 31, 2023 | 86.91 Mn |
| Dec 31, 2022 | 92.72 Mn |
| Sep 30, 2022 | 80.12 Mn |
| Jun 30, 2022 | 79.89 Mn |
| Mar 31, 2022 | 73.27 Mn |
| Dec 31, 2021 | 86.55 Mn |
| Sep 30, 2021 | 69.25 Mn |
Ptc Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=PTCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PTCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();