Polaryx Therapeutics (PLYX) Operating Expenses (2025 - 2026)
Polaryx Therapeutics' Operating Expenses came in at $1.38 million for Q2 2026, up 56.1% from $884,000 a year earlier but down 29.5% from the prior quarter.
Powered by 
Analysis
Polaryx Therapeutics (PLYX) Operating Expenses (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Polaryx Therapeutics reported Operating Expenses of $9.27 million; for FY2025, it came in at $7.82 million, up 79.7% from FY2024.
- Going back by year, Operating Expenses was $4.35 million in FY2024.
- The five-year range for quarterly Operating Expenses is $884,000 (Q2 2025) to $5.05 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Polaryx Therapeutics | 103.18 Mn | 78.80 Mn | - | 1.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.38 Mn |
| Mar 31, 2026 | 1.96 Mn |
| Jun 30, 2025 | 884,000.00 |
| Mar 31, 2025 | 5.05 Mn |
API Access
Polaryx 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=PLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PLYX", "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=PLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();