Datacentrex (DTCX) Property, Plant & Equipment (Net) (2021 - 2026)
Datacentrex (DTCX) posted Property, Plant & Equipment (Net) of $18.54 million for Q4 2025, compared with $14,660 a year earlier.
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Analysis
Datacentrex (DTCX) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
Since Q2 2021, Datacentrex has reported Property, Plant & Equipment (Net) for 19 quarters.
- Annual Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of 691.9% (FY2021 to FY2025).
- In prior years, Datacentrex's Property, Plant & Equipment (Net) was $14,660 in FY2024 (+108.2%), $7,040 in FY2023 (+175.8%), $2,553 in FY2022 (-45.8%) and $4,713 in FY2021.
- The Q4 2025 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in five of the last seven quarters, with growth averaging 104.5%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q1 2024, with growth of 217.1%; the weakest was Q1 2023, with a decline of 51.8%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $13,825 (Q3 2025), $15,080 (Q2 2025) and $13,675 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 372.83 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 253.22 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 2.56 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 46.06 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 50.00 Mn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 1.82 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 113.34 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 215.48 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 748.00 Mn |
| 10 | Datacentrex | 44.31 Mn | -116.51 Mn | 79,536.00 | 8.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.77 Mn |
| Jun 30, 2026 | 12.03 Mn |
| Mar 31, 2026 | 15.28 Mn |
| Dec 31, 2025 | 18.54 Mn |
| Sep 30, 2025 | 13,825.00 |
| Jun 30, 2025 | 15,080.00 |
| Mar 31, 2025 | 13,675.00 |
| Dec 31, 2024 | 14,660.00 |
| Sep 30, 2024 | 5,861.00 |
| Jun 30, 2024 | 5,315.00 |
| Mar 31, 2024 | 6,383.00 |
| Dec 31, 2023 | 7,040.00 |
| Sep 30, 2023 | 6,587.00 |
| Jun 30, 2023 | 6,366.00 |
| Mar 31, 2023 | 2,013.00 |
| Dec 31, 2022 | 2,553.00 |
| Sep 30, 2022 | 3,093.00 |
| Jun 30, 2022 | 3,633.00 |
| Mar 31, 2022 | 4,173.00 |
| Dec 31, 2021 | 4,713.00 |
API Access
Datacentrex 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=DTCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DTCX", "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=DTCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();