SurgePays (SURG) Property, Plant & Equipment (Net) (2010 - 2026)
SurgePays (SURG) posted Property, Plant & Equipment (Net) of $349,834 for Q2 2026, down 23.5% from $457,195 a year earlier and down 7.1% from the prior quarter.
SurgePays (SURG) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, SurgePays' Property, Plant & Equipment (Net) came in at $403,517, down 31.7% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior years, SurgePays' Property, Plant & Equipment (Net) was $591,088 in FY2024 (+63.4%), $361,841 in FY2023 (-43.8%), $643,373 in FY2022 (+221.0%) and $200,448 in FY2021 (-15.4%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last three quarters, with growth averaging 34.4% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2022, with growth of 286.8%; the weakest was Q3 2024, with a decline of 63.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $376,678 (Q1 2026), $403,517 (Q4 2025) and $430,352 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 125.50 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 36.62 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 134.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | 3.44 Bn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | 66.13 Bn |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 8.87 Bn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 1.76 Bn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 2.07 Bn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | - |
| 10 | SurgePays | 3.98 Mn | -5.40 Mn | -425,171.00 | 349,834.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 349,834.00 |
| Mar 31, 2026 | 376,678.00 |
| Dec 31, 2025 | 403,517.00 |
| Sep 30, 2025 | 430,352.00 |
| Jun 30, 2025 | 457,195.00 |
| Mar 31, 2025 | 523,556.00 |
| Dec 31, 2024 | 591,088.00 |
| Sep 30, 2024 | 158,092.00 |
| Jun 30, 2024 | 221,075.00 |
| Mar 31, 2024 | 291,458.00 |
| Dec 31, 2023 | 361,841.00 |
| Sep 30, 2023 | 432,224.00 |
| Jun 30, 2023 | 502,607.00 |
| Mar 31, 2023 | 572,991.00 |
| Dec 31, 2022 | 643,373.00 |
| Sep 30, 2022 | 747,056.00 |
| Jun 30, 2022 | 887,374.00 |
| Mar 31, 2022 | 204,158.00 |
| Dec 31, 2021 | 200,448.00 |
| Sep 30, 2021 | 217,070.00 |
SurgePays 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=SURG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SURG", "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=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();