TAO Synergies (TAOX) Research & Development (2019 - 2026)
TAO Synergies' Research & Development came in at $31,855 for Q2 2026, down 78.6% from $148,555 a year earlier but up 11.4% from the prior quarter.
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Analysis
TAO Synergies (TAOX) Research & Development (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TAO Synergies reported Research & Development of $173,309, down 79.8% year-over-year; for FY2025, it came in at $322,225, down 79.8% from FY2024.
- Research & Development has declined in each of the last three years, with a five-year compound annual growth rate of -36.3% (FY2020 to FY2025).
- Going back by year, Research & Development was $1.6 million in FY2024 (-19.0%), $1.97 million in FY2023 (-68.8%), $6.32 million in FY2022 (+45.9%) and $4.34 million in FY2021 (+41.3%).
- The five-year range for quarterly Research & Development is $28,600 (Q1 2026) to $1.94 million (Q2 2022).
- Year-over-year, Research & Development has declined for seven consecutive quarters, with an average decline of 57.7% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q3 2021 (growth of 103.9%), and the weakest in Q1 2025 (a decline of 90.0%).
- Business Quant data shows TAOX's Research & Development at $28,600 (Q1 2026), $58,466 (Q4 2025) and $54,388 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | TAO Synergies | 32.51 Mn | 32.51 Mn | - | 31,855.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31,855.00 |
| Mar 31, 2026 | 28,600.00 |
| Dec 31, 2025 | 58,466.00 |
| Sep 30, 2025 | 54,388.00 |
| Jun 30, 2025 | 148,555.00 |
| Mar 31, 2025 | 60,816.00 |
| Dec 31, 2024 | 424,508.00 |
| Sep 30, 2024 | 222,897.00 |
| Jun 30, 2024 | 342,068.00 |
| Mar 31, 2024 | 609,249.00 |
| Dec 31, 2023 | 577,893.00 |
| Sep 30, 2023 | 212,103.00 |
| Jun 30, 2023 | 307,211.00 |
| Mar 31, 2023 | 877,717.00 |
| Dec 31, 2022 | 1.41 Mn |
| Sep 30, 2022 | 1.48 Mn |
| Jun 30, 2022 | 1.94 Mn |
| Mar 31, 2022 | 1.49 Mn |
| Dec 31, 2021 | 1.36 Mn |
| Sep 30, 2021 | 836,716.00 |
API Access
TAO Synergies Research & Development 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=research-and-development&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();