KonaTel (KTEL) Total Non-Current Liabilities (2018 - 2026)
KonaTel's Total Non-Current Liabilities came in at $155,320 for Q2 2026, down 20.8% from $195,999 a year earlier and down 6.3% from the prior quarter.
KonaTel (KTEL) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, KonaTel's Total Non-Current Liabilities was $176,043, down 22.7% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $227,776 in FY2024 (-31.1%), $330,511 in FY2023 (-27.9%), $458,227 in FY2022 (+60.0%) and $286,445 in FY2021 (+73.2%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q1 2020.
- Year-over-year, Total Non-Current Liabilities has declined for 12 consecutive quarters, with an average decline of 26.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2023 (growth of 139.0%), and the weakest in Q2 2022 (a decline of 45.9%).
- Business Quant data shows KTEL's Total Non-Current Liabilities at $165,779 (Q1 2026), $176,043 (Q4 2025) and $186,113 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 190.02 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 1.39 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 146.48 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 18.63 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 21.41 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.42 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 33.67 Bn |
| 10 | KonaTel | 3.52 Mn | 765,948.04 | 492,894.00 | 155,320.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155,320.00 |
| Mar 31, 2026 | 165,779.00 |
| Dec 31, 2025 | 176,043.00 |
| Sep 30, 2025 | 186,113.00 |
| Jun 30, 2025 | 195,999.00 |
| Mar 31, 2025 | 206,396.00 |
| Dec 31, 2024 | 227,776.00 |
| Sep 30, 2024 | 248,826.00 |
| Jun 30, 2024 | 274,457.00 |
| Mar 31, 2024 | 297,154.00 |
| Dec 31, 2023 | 330,511.00 |
| Sep 30, 2023 | 363,355.00 |
| Jun 30, 2023 | 395,634.00 |
| Mar 31, 2023 | 427,299.00 |
| Dec 31, 2022 | 458,227.00 |
| Sep 30, 2022 | 495,385.00 |
| Jun 30, 2022 | 165,554.00 |
| Mar 31, 2022 | 276,973.00 |
| Dec 31, 2021 | 286,445.00 |
| Sep 30, 2021 | 295,796.00 |
KonaTel Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KTEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KTEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();