TAO Synergies (TAOX) Accumulated Expenses (2019 - 2026)
TAO Synergies' Accumulated Expenses was $132,444 in Q2 2026, up 100.4% from $66,104 a year earlier but down 15.9% from the prior quarter.
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Analysis
TAO Synergies (TAOX) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at TAO Synergies came in at $638,516, down 8.4% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $696,980 in FY2024 (+59.9%), $435,891 in FY2023 (-18.8%), $536,714 in FY2022 (-23.2%) and $698,406 in FY2021 (+98.3%).
- Quarterly Accumulated Expenses has moved between $54,542 (Q3 2024) and $8.83 million (Q2 2024) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with an average decline of 1.2%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2023 (growth of 662.7%); the worst was Q2 2025 (a decline of 99.3%).
- Per Business Quant data, TAOX's Accumulated Expenses in the three quarters before Q2 2026 was $157,416 (Q1 2026), $638,516 (Q4 2025) and $92,396 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | TAO Synergies | 33.85 Mn | 33.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132,444.00 |
| Mar 31, 2026 | 157,416.00 |
| Dec 31, 2025 | 638,516.00 |
| Sep 30, 2025 | 92,396.00 |
| Jun 30, 2025 | 66,104.00 |
| Mar 31, 2025 | 96,484.00 |
| Dec 31, 2024 | 696,980.00 |
| Sep 30, 2024 | 54,542.00 |
| Jun 30, 2024 | 8.83 Mn |
| Mar 31, 2024 | 6.02 Mn |
| Dec 31, 2023 | 435,891.00 |
| Sep 30, 2023 | 1.53 Mn |
| Jun 30, 2023 | 68,137.00 |
| Mar 31, 2023 | 3.40 Mn |
| Dec 31, 2022 | 536,714.00 |
| Sep 30, 2022 | 200,205.00 |
| Jun 30, 2022 | 345,114.00 |
| Mar 31, 2022 | 267,989.00 |
| Dec 31, 2021 | 698,406.00 |
| Sep 30, 2021 | 71,953.00 |
API Access
TAO Synergies Accumulated Expenses 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=accumulated-expenses&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();