TAO Synergies (TAOX) Return on Assets [ROA] (2020 - 2026)
TAO Synergies (TAOX) recorded Return on Assets [ROA] of -63.86% in Q2 2026, up 97.98 percentage points from -161.84% a year earlier and up 23.58 percentage points from the prior quarter.
TAO Synergies (TAOX) Return on Assets [ROA] (2020 - 2026) Analysis & Trends
For FY2025, TAO Synergies reported Return on Assets [ROA] of -131.92%, down 79.64 percentage points from FY2024.
- Annual Return on Assets [ROA] has declined for three straight years, with a five-year change of -28.84 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -52.28% in FY2024 (-34.96 pp), -17.32% in FY2023 (-2.28 pp), -15.04% in FY2022 (+44.62 pp) and -59.66% in FY2021 (+43.41 pp).
- The Q2 2026 figure is the highest quarterly Return on Assets [ROA] since Q4 2024.
- On a year-over-year basis, Return on Assets [ROA] rose in 1 of the last eight quarters, with an average year-over-year change of -47.39 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 97.98 percentage points in Q2 2026, against a drop of 155.91 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -87.44% (Q1 2026), -130.05% (Q4 2025) and -139.45% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 16.34% |
| 10 | TAO Synergies | 33.85 Mn | 33.85 Mn | - | -63.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -63.86% |
| Mar 31, 2026 | -87.44% |
| Dec 31, 2025 | -130.05% |
| Sep 30, 2025 | -139.45% |
| Jun 30, 2025 | -161.84% |
| Mar 31, 2025 | -73.66% |
| Dec 31, 2024 | -62.96% |
| Sep 30, 2024 | -32.09% |
| Jun 30, 2024 | -5.93% |
| Mar 31, 2024 | -14.98% |
| Dec 31, 2023 | -19.03% |
| Sep 30, 2023 | -1.70% |
| Jun 30, 2023 | -12.43% |
| Mar 31, 2023 | -10.67% |
| Dec 31, 2022 | -16.90% |
| Sep 30, 2022 | -50.21% |
| Jun 30, 2022 | -45.83% |
| Mar 31, 2022 | -37.52% |
| Dec 31, 2021 | -37.16% |
| Sep 30, 2021 | -34.72% |
TAO Synergies Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=TAOX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();