iQSTEL (IQST) Selling, General & Administrative (2017 - 2026)
iQSTEL (IQST) recorded Selling, General & Administrative of $3.87 million in Q2 2026, up 53.0% from $2.53 million a year earlier and up 27.3% from the prior quarter.
iQSTEL (IQST) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a TTM basis, iQSTEL's Selling, General & Administrative came in at $13.38 million as of Jun 30, 2026, up 32.4% year-over-year; for FY2025, it came in at $11.54 million, up 26.7% from FY2024.
- Annual Selling, General & Administrative has increased for four straight years, with a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $9.11 million in FY2024 (+82.6%), $4.99 million in FY2023 (+0.1%), $4.98 million in FY2022 (+10.3%) and $4.52 million in FY2021 (unchanged).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2018.
- On a year-over-year basis, Selling, General & Administrative has increased for ten consecutive quarters, with growth averaging 52.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 141.6% in Q2 2024, against a decline of 37.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.04 million (Q1 2026), $3.17 million (Q4 2025) and $3.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.94 Bn | 159.58 Bn | 27.05 Bn | 7.48 Bn |
| 2 | T-Mobile US | 179.71 Bn | 162.14 Bn | 15.13 Bn | 6.02 Bn |
| 3 | At&T | 147.73 Bn | 105.17 Bn | 26.22 Bn | 7.44 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 139.98 Bn | 960.50 Mn | 356.81 Mn |
| 5 | Comcast | 87.61 Bn | 53.57 Bn | - | - |
| 6 | Chunghwa Telecom | 37.88 Bn | 30.37 Bn | 728.80 Mn | 61.34 Mn |
| 7 | Vodafone Group Public | 37.71 Bn | 5.95 Bn | - | - |
| 8 | EchoStar | 30.28 Bn | 11.36 Bn | 647.20 Mn | 234.58 Mn |
| 9 | Bce | 20.18 Bn | 18.41 Bn | 11.61 Bn | - |
| 10 | iQSTEL | 5.48 Mn | 802,178.01 | 2.75 Mn | 3.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.87 Mn |
| Mar 31, 2026 | 3.04 Mn |
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 3.30 Mn |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | 2.54 Mn |
| Dec 31, 2024 | 2.96 Mn |
| Sep 30, 2024 | 2.08 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 957,768.00 |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 1.53 Mn |
| Dec 31, 2022 | 1.59 Mn |
| Sep 30, 2022 | 1.26 Mn |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 989,498.00 |
| Dec 31, 2021 | 853,158.00 |
| Sep 30, 2021 | 957,195.00 |
iQSTEL Selling, General & Administrative 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=selling-general-and-administrative&ticker=IQST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IQST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();