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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -1.65% |
| 10 | TAO Synergies | 26.38 Mn | 433,385.79 | - | -15,410.84% |
Historic Data
Download Data
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% |
API Access
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_KEYimport 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();