iQSTEL (IQST) Property, Plant & Equipment (Net) (2019 - 2026)
iQSTEL's Property, Plant & Equipment (Net) came in at $500,021 for Q2 2026, down 17.9% from $609,393 a year earlier and down 11.4% from the prior quarter.
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Analysis
iQSTEL (IQST) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, iQSTEL's Property, Plant & Equipment (Net) was $615,048, up 9.5% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last three years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $561,802 in FY2024 (+7.4%), $522,997 in FY2023 (+30.4%), $401,021 in FY2022 (-2.0%) and $409,382 in FY2021 (+16.8%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- Year-over-year, Property, Plant & Equipment (Net) increased in six of the last eight quarters, with growth averaging 5.7%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2023 (growth of 30.4%), and the weakest in Q2 2026 (a decline of 17.9%).
- Business Quant data shows IQST's Property, Plant & Equipment (Net) at $564,114 (Q1 2026), $615,048 (Q4 2025) and $670,642 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | iQSTEL | 7.14 Mn | 2.47 Mn | 2.75 Mn | 500,021.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 500,021.00 |
| Mar 31, 2026 | 564,114.00 |
| Dec 31, 2025 | 615,048.00 |
| Sep 30, 2025 | 670,642.00 |
| Jun 30, 2025 | 609,393.00 |
| Mar 31, 2025 | 604,303.00 |
| Dec 31, 2024 | 561,802.00 |
| Sep 30, 2024 | 578,734.00 |
| Jun 30, 2024 | 583,314.00 |
| Mar 31, 2024 | 559,497.00 |
| Dec 31, 2023 | 522,997.00 |
| Sep 30, 2023 | 463,036.00 |
| Jun 30, 2023 | 473,534.00 |
| Mar 31, 2023 | 433,119.00 |
| Dec 31, 2022 | 401,021.00 |
| Sep 30, 2022 | 391,762.00 |
| Jun 30, 2022 | 386,707.00 |
| Mar 31, 2022 | 398,909.00 |
| Dec 31, 2021 | 409,382.00 |
| Sep 30, 2021 | 352,724.00 |
API Access
iQSTEL 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=IQST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "IQST", "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=IQST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();