Anterix (ATEX) Total Non-Current Liabilities (2014 - 2026)
Anterix (ATEX) posted Total Non-Current Liabilities of $206.13 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 20.9% from $170.56 million a year earlier and up 4.7% from the prior quarter.
Anterix (ATEX) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Anterix's Total Non-Current Liabilities came in at $196.89 million, up 22.2% from FY2025.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 37.7% (FY2021 to FY2026).
- In prior fiscal years, Anterix's Total Non-Current Liabilities was $161.17 million in FY2025 (-1.3%), $163.23 million in FY2024 (+66.2%), $98.22 million in FY2023 (+7.8%) and $91.12 million in FY2022 (+129.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2014.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last five quarters, with growth averaging 18.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2023, with growth of 280.1%; the weakest was fiscal Q4 2025, with a decline of 1.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $196.89 million (Q4 2026), $175.05 million (Q3 2026) and $172.92 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.25 Bn | 158.59 Bn | 27.05 Bn | 241.96 Bn |
| 2 | T-Mobile US | 180.09 Bn | 162.53 Bn | 15.13 Bn | 132.81 Bn |
| 3 | At&T | 147.71 Bn | 89.17 Bn | 26.22 Bn | 189.90 Bn |
| 4 | Grupo Televisa, S.A.B | 145.45 Bn | 145.45 Bn | 960.50 Mn | 1.34 Bn |
| 5 | Comcast | 86.66 Bn | 52.46 Bn | - | 143.69 Bn |
| 6 | Chunghwa Telecom | 37.85 Bn | 29.87 Bn | 728.80 Mn | 18.48 Mn |
| 7 | Vodafone Group Public | 37.58 Bn | 6.97 Bn | - | 59.09 Bn |
| 8 | EchoStar | 28.99 Bn | 10.02 Bn | 647.20 Mn | 17.85 Bn |
| 9 | Bce | 19.92 Bn | 17.91 Bn | 2.79 Bn | 31.51 Bn |
| 10 | Anterix | 1.51 Bn | 1.22 Bn | - | 206.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 206.13 Mn |
| Mar 31, 2026 | 196.89 Mn |
| Dec 31, 2025 | 175.03 Mn |
| Sep 30, 2025 | 172.86 Mn |
| Jun 30, 2025 | 170.50 Mn |
| Mar 31, 2025 | 161.04 Mn |
| Dec 31, 2024 | 159.76 Mn |
| Sep 30, 2024 | 152.95 Mn |
| Jun 30, 2024 | 146.94 Mn |
| Mar 31, 2024 | 163.23 Mn |
| Dec 31, 2023 | 133.10 Mn |
| Sep 30, 2023 | 103.26 Mn |
| Jun 30, 2023 | 97.62 Mn |
| Mar 31, 2023 | 98.22 Mn |
| Dec 31, 2022 | 98.04 Mn |
| Sep 30, 2022 | 89.29 Mn |
| Jun 30, 2022 | 69.31 Mn |
| Mar 31, 2022 | 91.12 Mn |
| Dec 31, 2021 | 71.86 Mn |
| Sep 30, 2021 | 22.75 Mn |
Anterix 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=ATEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ATEX", "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=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();