TAO Synergies (TAOX) Capital Expenditures (2020 - 2023)
TAO Synergies' Capital Expenditures was $2,707 in FY2023, down 63.5% from $7,414 in FY2022.
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Analysis
TAO Synergies (TAOX) Capital Expenditures (2020 - 2023) Analysis & Trends
From FY2019 onward, TAO Synergies has reported Capital Expenditures for 5 years.
- Capital Expenditures shows a four-year compound annual growth rate of -15.1% (FY2019 to FY2023).
- The FY2023 figure marks the lowest annual Capital Expenditures in data going back to FY2019.
- Per Business Quant data, Capital Expenditures in earlier years was $7,414 in FY2022 (+131.8%), $3,199 in FY2021 (-40.9%), $5,413 in FY2020 (+3.8%) and $5,214 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.24 Bn | 1,102.83 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 616.11 Bn | 534.64 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 501.21 Bn | 474.32 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 367.51 Bn | 321.89 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 297.95 Bn | 261.94 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 261.35 Bn | 235.03 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 235.88 Bn | 191.28 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 190.74 Bn | 164.94 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 169.40 Bn | 116.05 Bn | 10.94 Bn | 533.00 Mn |
| 10 | TAO Synergies | 26.56 Mn | 620,191.50 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 669.00 |
| Mar 31, 2023 | 2,038.00 |
| Dec 31, 2022 | 2,139.00 |
| Sep 30, 2022 | 2,246.00 |
| Jun 30, 2020 | 2,814.00 |
| Mar 31, 2020 | 2,599.00 |
API Access
TAO Synergies Capital Expenditures 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=capital-expenditures&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();