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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Prothena Corp Public | 439.48 Mn | -757.15 Mn | - | 10.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.59 Mn |
| 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 |
API Access
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_KEYimport 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();