TAO Synergies (TAOX) Depreciation & Amortization (CF) (2019 - 2026)
TAO Synergies (TAOX) posted Depreciation & Amortization (CF) of $735.00 for Q2 2026, down 24.9% from $979.00 a year earlier and down 9.9% from the prior quarter.
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Analysis
TAO Synergies (TAOX) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at TAO Synergies was $3,156, down 35.3% year-over-year; for FY2025, it was $3,616, down 35.2% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- In prior years, TAO Synergies' Depreciation & Amortization (CF) was $5,580 in FY2024 (-12.1%), $6,347 in FY2023 (+11.1%), $5,714 in FY2022 (+15.1%) and $4,966 in FY2021 (+1.9%).
- The Q2 2026 figure stands as the lowest quarterly Depreciation & Amortization (CF) in data going back to Q4 2019.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined in each of the last 11 quarters, with an average decline of 23.4% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q1 2023, with growth of 28.1%; the weakest was Q3 2025, with a decline of 52.5%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $816.00 (Q1 2026), $802.00 (Q4 2025) and $803.00 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | TAO Synergies | 33.85 Mn | 33.85 Mn | - | 735.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 735.00 |
| Mar 31, 2026 | 816.00 |
| Dec 31, 2025 | 802.00 |
| Sep 30, 2025 | 803.00 |
| Jun 30, 2025 | 979.00 |
| Mar 31, 2025 | 1,032.00 |
| Dec 31, 2024 | 1,175.00 |
| Sep 30, 2024 | 1,689.00 |
| Jun 30, 2024 | 1,317.00 |
| Mar 31, 2024 | 1,399.00 |
| Dec 31, 2023 | 1,210.00 |
| Sep 30, 2023 | 1,723.00 |
| Jun 30, 2023 | 1,724.00 |
| Mar 31, 2023 | 1,690.00 |
| Dec 31, 2022 | 1,526.00 |
| Sep 30, 2022 | 1,491.00 |
| Jun 30, 2022 | 1,378.00 |
| Mar 31, 2022 | 1,319.00 |
| Dec 31, 2021 | 1,239.00 |
| Sep 30, 2021 | 1,240.00 |
API Access
TAO Synergies Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();