iQSTEL (IQST) Operating Expenses (2012 - 2026)
iQSTEL (IQST) posted Operating Expenses of $3.87 million for Q2 2026, up 53.0% from $2.53 million a year earlier and up 27.3% from the prior quarter.
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Analysis
iQSTEL (IQST) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at iQSTEL was $15.55 million, up 53.9% year-over-year; for FY2025, it was $13.71 million, up 50.6% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In prior years, iQSTEL's Operating Expenses was $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).
- Quarterly Operating Expenses has run from a low of $853,158 in Q4 2021 to a high of $5.34 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last ten quarters, with growth averaging 61.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 141.6%; the weakest was Q4 2021, with a decline of 37.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.04 million (Q1 2026), $5.34 million (Q4 2025) and $3.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.94 Bn | 158.35 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 178.90 Bn | 163.65 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 170.76 Bn | 118.71 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 146.22 Bn | 134.85 Bn | 318.12 Mn | -117.85 Mn |
| 5 | Comcast | 77.07 Bn | 41.32 Bn | - | 24.78 Bn |
| 6 | Chunghwa Telecom | 35.67 Bn | 31.52 Bn | 728.80 Mn | 309.31 Mn |
| 7 | EchoStar | 25.89 Bn | 17.02 Bn | 1.65 Bn | 3.06 Bn |
| 8 | AST SpaceMobile | 23.74 Bn | 24.24 Bn | 7.95 Mn | 329.10 Mn |
| 9 | Bce | 19.19 Bn | 17.52 Bn | - | -2.51 Bn |
| 10 | iQSTEL | 6.87 Mn | 2.19 Mn | 2.75 Mn | 3.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.87 Mn |
| Mar 31, 2026 | 3.04 Mn |
| Dec 31, 2025 | 5.34 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 |
API Access
iQSTEL Operating Expenses 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=operating-expenses&ticker=IQST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IQST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();