TAO Synergies (TAOX) Return on Equity [ROE] (2021 - 2026)
TAO Synergies (TAOX) reported Return on Equity [ROE] of -92.49% for Q2 2026, up 161.05 percentage points from -253.54% a year earlier and up 19.76 percentage points from the prior quarter.
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Analysis
TAO Synergies (TAOX) Return on Equity [ROE] (2021 - 2026) Analysis & Trends
For FY2025, TAO Synergies posted Return on Equity [ROE] of -213.54%, down 129.01 percentage points from FY2024.
- Return on Equity [ROE] has declined for three consecutive years, with a five-year change of -100.91 percentage points (FY2020 to FY2025).
- By year, Return on Equity [ROE] came in at -84.53% in FY2024 (-63.36 pp), -21.17% in FY2023 (-4.34 pp), -16.83% in FY2022 (+48.39 pp) and -65.23% in FY2021 (+47.40 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Equity [ROE] since Q3 2024.
- Year over year, Return on Equity [ROE] gained in two of the last eight quarters, with an average year-over-year change of -58.19 percentage points.
- The high point for year-over-year Return on Equity [ROE] in five years was Q2 2026 (a gain of 161.05 percentage points); the low point was Q2 2025 (a drop of 245.15 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -112.25% (Q1 2026), -154.85% (Q4 2025) and -159.69% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | TAO Synergies | 33.85 Mn | 33.85 Mn | - | -92.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -92.49% |
| Mar 31, 2026 | -112.25% |
| Dec 31, 2025 | -154.85% |
| Sep 30, 2025 | -159.69% |
| Jun 30, 2025 | -253.54% |
| Mar 31, 2025 | -220.74% |
| Dec 31, 2024 | -136.81% |
| Sep 30, 2024 | -52.01% |
| Jun 30, 2024 | -8.39% |
| Mar 31, 2024 | -19.54% |
| Dec 31, 2023 | -23.64% |
| Sep 30, 2023 | -2.17% |
| Jun 30, 2023 | -15.45% |
| Mar 31, 2023 | -12.49% |
| Dec 31, 2022 | -18.78% |
| Sep 30, 2022 | -51.39% |
| Jun 30, 2022 | -46.81% |
| Mar 31, 2022 | -39.06% |
| Dec 31, 2021 | -38.87% |
| Sep 30, 2021 | -35.69% |
API Access
TAO Synergies Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();