TAO Synergies (TAOX) Selling, General & Administrative (2019 - 2026)
TAO Synergies' Selling, General & Administrative was $1.63 million in Q2 2026, down 25.8% from $2.19 million a year earlier and down 3.1% from the prior quarter.
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Analysis
TAO Synergies (TAOX) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, TAO Synergies' Selling, General & Administrative was $9.13 million through Jun 30, 2026, up 49.9% year-over-year; for FY2025, it came in at $9.02 million, up 73.1% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $5.21 million in FY2024 (-17.8%), $6.34 million in FY2023 (-35.4%), $9.81 million in FY2022 (+18.5%) and $8.28 million in FY2021 (+2.4%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q1 2025.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last eight quarters, with growth averaging 38.7%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2025 (growth of 121.0%); the worst was Q4 2023 (a decline of 65.3%).
- Per Business Quant data, TAOX's Selling, General & Administrative in the three quarters before Q2 2026 was $1.68 million (Q1 2026), $3.88 million (Q4 2025) and $1.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | TAO Synergies | 32.96 Mn | 32.96 Mn | - | 1.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 1.68 Mn |
| Dec 31, 2025 | 3.88 Mn |
| Sep 30, 2025 | 1.95 Mn |
| Jun 30, 2025 | 2.19 Mn |
| Mar 31, 2025 | 1.01 Mn |
| Dec 31, 2024 | 1.75 Mn |
| Sep 30, 2024 | 1.14 Mn |
| Jun 30, 2024 | 1.24 Mn |
| Mar 31, 2024 | 1.08 Mn |
| Dec 31, 2023 | 1.55 Mn |
| Sep 30, 2023 | 1.22 Mn |
| Jun 30, 2023 | 1.52 Mn |
| Mar 31, 2023 | 2.04 Mn |
| Dec 31, 2022 | 4.48 Mn |
| Sep 30, 2022 | 1.68 Mn |
| Jun 30, 2022 | 1.86 Mn |
| Mar 31, 2022 | 1.80 Mn |
| Dec 31, 2021 | 2.88 Mn |
| Sep 30, 2021 | 2.09 Mn |
API Access
TAO Synergies Selling, General & Administrative 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=selling-general-and-administrative&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();