TAO Synergies (TAOX) Return on Capital Employed [ROCE] (2020 - 2026)
TAO Synergies' Return on Capital Employed [ROCE] came in at -31.26% for Q2 2026, up 14.79 percentage points from -46.05% a year earlier and up 2.74 percentage points from the prior quarter.
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Analysis
TAO Synergies (TAOX) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, TAO Synergies' Return on Capital Employed [ROCE] was -45.30%, down 16.21 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last three years, though with a five-year change of +73.29 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -29.09% in FY2024 (-9.35 pp), -19.74% in FY2023 (-4.15 pp), -15.59% in FY2022 (+50.29 pp) and -65.88% in FY2021 (+52.71 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -12.28 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2022 (a gain of 99.85 percentage points), and the weakest in Q2 2025 (a drop of 35.71 percentage points).
- Business Quant data shows TAOX's Return on Capital Employed [ROCE] at -34.00% (Q1 2026), -44.60% (Q4 2025) and -41.39% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | TAO Synergies | 32.96 Mn | 32.96 Mn | - | -31.26% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.26% |
| Mar 31, 2026 | -34.00% |
| Dec 31, 2025 | -44.60% |
| Sep 30, 2025 | -41.39% |
| Jun 30, 2025 | -46.05% |
| Mar 31, 2025 | -37.92% |
| Dec 31, 2024 | -27.64% |
| Sep 30, 2024 | -18.85% |
| Jun 30, 2024 | -10.34% |
| Mar 31, 2024 | -18.92% |
| Dec 31, 2023 | -21.99% |
| Sep 30, 2023 | -1.80% |
| Jun 30, 2023 | -13.50% |
| Mar 31, 2023 | -11.04% |
| Dec 31, 2022 | -17.60% |
| Sep 30, 2022 | -51.45% |
| Jun 30, 2022 | -46.78% |
| Mar 31, 2022 | -38.28% |
| Dec 31, 2021 | -39.48% |
| Sep 30, 2021 | -35.82% |
API Access
TAO Synergies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();