Prothena Corp Public (PRTA) Selling, General & Administrative (2012 - 2026)
Prothena Corp Public (PRTA) reported Selling, General & Administrative of $10.9 million for Q2 2026, down 31.5% from $15.91 million a year earlier and down 14.0% from the prior quarter.
Prothena Corp Public (PRTA) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Prothena Corp Public's Selling, General & Administrative came in at $49.45 million, down 26.3% year-over-year; for FY2025, it was $59.39 million, down 11.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $67.2 million in FY2024 (+8.7%), $61.84 million in FY2023 (+23.9%), $49.9 million in FY2022 (+7.7%) and $46.32 million in FY2021 (+19.7%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q4 2020.
- Year over year, Selling, General & Administrative has now declined in each of the last five quarters, with an average decline of 13.2% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2023 (growth of 38.8%); the low point was Q2 2026 (a decline of 31.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.67 million (Q1 2026), $12.65 million (Q4 2025) and $13.24 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 | Prothena Corp Public | 441.90 Mn | -814.18 Mn | - | 10.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.90 Mn |
| Mar 31, 2026 | 12.67 Mn |
| Dec 31, 2025 | 12.65 Mn |
| Sep 30, 2025 | 13.24 Mn |
| Jun 30, 2025 | 15.91 Mn |
| Mar 31, 2025 | 17.60 Mn |
| Dec 31, 2024 | 16.85 Mn |
| Sep 30, 2024 | 16.76 Mn |
| Jun 30, 2024 | 16.13 Mn |
| Mar 31, 2024 | 17.46 Mn |
| Dec 31, 2023 | 16.94 Mn |
| Sep 30, 2023 | 16.65 Mn |
| Jun 30, 2023 | 14.51 Mn |
| Mar 31, 2023 | 13.74 Mn |
| Dec 31, 2022 | 13.12 Mn |
| Sep 30, 2022 | 11.99 Mn |
| Jun 30, 2022 | 12.95 Mn |
| Mar 31, 2022 | 11.84 Mn |
| Dec 31, 2021 | 12.21 Mn |
| Sep 30, 2021 | 11.96 Mn |
Prothena Corp Public 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=PRTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PRTA", "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=PRTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();