GlobalTech (GLTK) Property, Plant & Equipment (Net) (2021 - 2026)
GlobalTech's Property, Plant & Equipment (Net) came in at $15.45 million for Q2 2026, down 3.4% from $16 million a year earlier and down 2.6% from the prior quarter.
GlobalTech (GLTK) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, GlobalTech's Property, Plant & Equipment (Net) was $16.07 million, down 5.1% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last four years, with a four-year compound annual growth rate of -16.0% (FY2021 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $16.94 million in FY2024 (-5.4%), $17.9 million in FY2023 (-24.5%), $23.72 million in FY2022 (-26.4%) and $32.24 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2021.
- Year-over-year, Property, Plant & Equipment (Net) has declined for 11 consecutive quarters, with an average decline of 5.6% over the last eight quarters.
- Across the past five years, year-over-year decline in Property, Plant & Equipment (Net) ran from 1.9% in Q2 2024 to 26.4% in Q4 2022.
- Business Quant data shows GLTK's Property, Plant & Equipment (Net) at $15.86 million (Q1 2026), $16.07 million (Q4 2025) and $15.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 185.43 Bn | 149.83 Bn | 27.03 Bn | 125.50 Bn |
| 2 | T-Mobile US | 157.50 Bn | 142.25 Bn | 14.76 Bn | 36.62 Bn |
| 3 | Grupo Televisa, S.A.B | 146.85 Bn | 139.14 Bn | 318.12 Mn | 3.42 Bn |
| 4 | At&T | 140.99 Bn | 98.44 Bn | 26.22 Bn | 132.15 Bn |
| 5 | Comcast | 80.32 Bn | 46.28 Bn | - | 66.96 Bn |
| 6 | Vodafone Group Public | 38.29 Bn | 11.97 Bn | - | 39.19 Bn |
| 7 | Chunghwa Telecom | 37.65 Bn | 30.15 Bn | 728.80 Mn | 8.80 Bn |
| 8 | EchoStar | 25.85 Bn | 16.98 Bn | 1.65 Bn | 1.76 Bn |
| 9 | Telefonica Brasil | 20.72 Bn | 14.74 Bn | 1.42 Bn | 8.87 Bn |
| 10 | GlobalTech | 746.87 Mn | 782.43 Mn | 3.88 Mn | 15.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.45 Mn |
| Mar 31, 2026 | 15.86 Mn |
| Dec 31, 2025 | 16.07 Mn |
| Sep 30, 2025 | 15.89 Mn |
| Jun 30, 2025 | 16.00 Mn |
| Mar 31, 2025 | 16.53 Mn |
| Dec 31, 2024 | 16.94 Mn |
| Sep 30, 2024 | 17.30 Mn |
| Jun 30, 2024 | 17.57 Mn |
| Mar 31, 2024 | 17.87 Mn |
| Dec 31, 2023 | 17.90 Mn |
| Sep 30, 2023 | 17.77 Mn |
| Jun 30, 2023 | 17.91 Mn |
| Mar 31, 2023 | 18.49 Mn |
| Dec 31, 2022 | 23.72 Mn |
| Dec 31, 2021 | 32.24 Mn |
GlobalTech 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=GLTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GLTK", "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=GLTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();