TAO Synergies (TAOX) Property, Plant & Equipment (Net) (2019 - 2026)
TAO Synergies (TAOX) recorded Property, Plant & Equipment (Net) of $7,758 in Q2 2026, down 28.9% from $10,914 a year earlier and down 8.7% from the prior quarter.
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Analysis
TAO Synergies (TAOX) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, TAO Synergies reported Property, Plant & Equipment (Net) of $9,309, down 28.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three straight years, with a five-year compound annual growth rate of -16.0% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $12,925 in FY2024 (-30.2%), $18,505 in FY2023 (-16.4%), $22,145 in FY2022 (+8.3%) and $20,445 in FY2021 (-8.0%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 12 consecutive quarters, with an average decline of 29.2% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 17.6% in Q1 2023, against a decline of 30.9% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $8,493 (Q1 2026), $9,309 (Q4 2025) and $10,111 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | TAO Synergies | 32.96 Mn | 32.96 Mn | - | 7,758.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,758.00 |
| Mar 31, 2026 | 8,493.00 |
| Dec 31, 2025 | 9,309.00 |
| Sep 30, 2025 | 10,111.00 |
| Jun 30, 2025 | 10,914.00 |
| Mar 31, 2025 | 11,893.00 |
| Dec 31, 2024 | 12,925.00 |
| Sep 30, 2024 | 14,100.00 |
| Jun 30, 2024 | 15,789.00 |
| Mar 31, 2024 | 17,106.00 |
| Dec 31, 2023 | 18,505.00 |
| Sep 30, 2023 | 19,715.00 |
| Jun 30, 2023 | 21,438.00 |
| Mar 31, 2023 | 22,493.00 |
| Dec 31, 2022 | 22,145.00 |
| Sep 30, 2022 | 21,532.00 |
| Jun 30, 2022 | 20,777.00 |
| Mar 31, 2022 | 19,126.00 |
| Dec 31, 2021 | 20,445.00 |
| Sep 30, 2021 | 18,485.00 |
API Access
TAO Synergies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TAOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TAOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();