KonaTel (KTEL) Selling, General & Administrative (2010 - 2026)
KonaTel (KTEL) reported Selling, General & Administrative of $44,109 for Q2 2026, down 32.1% from $64,975 a year earlier but up 21.0% from the prior quarter.
KonaTel (KTEL) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, KonaTel's Selling, General & Administrative came in at $254,758, up 14.7% year-over-year; for FY2025, it came in at $292,582, up 37.3% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $213,149 in FY2024 (+36.9%), $155,734 in FY2023 (-48.1%), $300,042 in FY2022 (+91.9%) and $156,386 in FY2021 (+33.0%).
- Five-year quarterly Selling, General & Administrative spans a low of $32,668 in Q3 2021 and a high of $119,316 in Q2 2022.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 24.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2022 (growth of 217.2%); the low point was Q2 2023 (a decline of 63.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36,463 (Q1 2026), $78,857 (Q4 2025) and $95,329 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.87 Bn | 155.27 Bn | 27.03 Bn | 8.98 Bn |
| 2 | T-Mobile US | 175.88 Bn | 160.63 Bn | 14.76 Bn | 5.83 Bn |
| 3 | At&T | 166.65 Bn | 114.60 Bn | 25.82 Bn | 7.22 Bn |
| 4 | Grupo Televisa, S.A.B | 142.49 Bn | 131.12 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 76.29 Bn | 40.54 Bn | - | - |
| 6 | Chunghwa Telecom | 35.81 Bn | 31.66 Bn | 728.80 Mn | 61.34 Mn |
| 7 | EchoStar | 27.35 Bn | 18.48 Bn | 1.65 Bn | 547.85 Mn |
| 8 | AST SpaceMobile | 22.74 Bn | 23.25 Bn | 7.95 Mn | 63.90 Mn |
| 9 | Telefonica Brasil | 18.42 Bn | 12.42 Bn | 1.42 Bn | -203.00 Mn |
| 10 | KonaTel | 2.64 Mn | -113,633.22 | 492,894.00 | 44,109.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44,109.00 |
| Mar 31, 2026 | 36,463.00 |
| Dec 31, 2025 | 78,857.00 |
| Sep 30, 2025 | 95,329.00 |
| Jun 30, 2025 | 64,975.00 |
| Mar 31, 2025 | 49,986.00 |
| Dec 31, 2024 | 53,175.00 |
| Sep 30, 2024 | 54,006.00 |
| Jun 30, 2024 | 44,573.00 |
| Mar 31, 2024 | 61,395.00 |
| Dec 31, 2023 | 35,631.00 |
| Sep 30, 2023 | 35,459.00 |
| Jun 30, 2023 | 43,259.00 |
| Mar 31, 2023 | 40,234.00 |
| Dec 31, 2022 | 48,264.00 |
| Sep 30, 2022 | 71,545.00 |
| Jun 30, 2022 | 119,316.00 |
| Mar 31, 2022 | 60,918.00 |
| Dec 31, 2021 | 62,392.00 |
| Sep 30, 2021 | 32,668.00 |
KonaTel 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=KTEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "KTEL", "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=KTEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();