Polaryx Therapeutics (PLYX) Accumulated Expenses (2024 - 2026)
Polaryx Therapeutics' Accumulated Expenses was $73,000 in Q2 2026, up 62.2% from the prior quarter.
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Analysis
Polaryx Therapeutics (PLYX) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Polaryx Therapeutics came in at $23,000, down 73.6% from FY2024.
- In earlier years, Accumulated Expenses was $87,000 in FY2024.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Polaryx Therapeutics | 93.21 Mn | 68.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94,000.00 |
| Mar 31, 2026 | 66,000.00 |
| Dec 31, 2025 | 44,000.00 |
| Dec 31, 2024 | 87,000.00 |
API Access
Polaryx Therapeutics Accumulated 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=accumulated-expenses&ticker=PLYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PLYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();