TAO Synergies (TAOX) Net Margin (2025 - 2026)
TAO Synergies' Net Margin came in at -15410.84% for Q2 2026, up 429284.19 percentage points from -444695.03% a year earlier but down 16270.26 percentage points from the prior quarter.
TAO Synergies (TAOX) Net Margin (2025 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TAO Synergies reported Net Margin of -2855.35%; for FY2025, it was -9722.37%.
- The five-year range for quarterly Net Margin is -444695.03% (Q2 2025) to 859.42% (Q1 2026).
- Business Quant data shows TAOX's Net Margin at 859.42% (Q1 2026), -8473.20% (Q4 2025) and -1951.34% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 21.86% |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 21.27% |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | -8.04% |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 22.61% |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 18.81% |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 23.62% |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -134.51% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -1.65% |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 32.99% |
| 10 | TAO Synergies | 32.28 Mn | 32.28 Mn | - | -15,410.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15,410.84% |
| Mar 31, 2026 | 859.42% |
| Dec 31, 2025 | -8,473.20% |
| Sep 30, 2025 | -1,951.34% |
| Jun 30, 2025 | -444,695.03% |
TAO Synergies Net Margin 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=net-margin&ticker=TAOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "TAOX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();