Anterix (ATEX) Total Liabilities (2014 - 2026)
Anterix (ATEX) recorded Total Liabilities of $212.13 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 21.4% from $174.81 million a year earlier and up 4.6% from the prior quarter.
Powered by 
Analysis
Anterix (ATEX) Total Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Anterix reported Total Liabilities of $202.89 million, up 14.9% from FY2025.
- Annual Total Liabilities has increased for eight straight fiscal years, with a five-year compound annual growth rate of 38.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $176.5 million in FY2025 (+7.7%), $163.86 million in FY2024 (+65.9%), $98.77 million in FY2023 (+7.7%) and $91.75 million in FY2022 (+126.3%).
- The fiscal Q1 2027 figure is the highest quarterly Total Liabilities in data going back to fiscal Q4 2014.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 17.5%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 321.1% in fiscal Q3 2022, against a decline of 0.5% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $202.89 million (Q4 2026), $181.05 million (Q3 2026) and $180.03 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.25 Bn | 158.59 Bn | 27.05 Bn | 308.23 Bn |
| 2 | T-Mobile US | 180.09 Bn | 162.53 Bn | 15.13 Bn | 156.80 Bn |
| 3 | At&T | 147.71 Bn | 89.17 Bn | 26.22 Bn | 323.12 Bn |
| 4 | Grupo Televisa, S.A.B | 145.45 Bn | 145.45 Bn | 960.50 Mn | 6.93 Bn |
| 5 | Comcast | 86.66 Bn | 52.46 Bn | - | 165.24 Bn |
| 6 | Chunghwa Telecom | 37.85 Bn | 29.87 Bn | 728.80 Mn | 5.90 Bn |
| 7 | Vodafone Group Public | 37.58 Bn | 6.97 Bn | - | 90.86 Bn |
| 8 | EchoStar | 28.99 Bn | 10.02 Bn | 647.20 Mn | 19.32 Bn |
| 9 | Bce | 19.92 Bn | 17.91 Bn | 2.79 Bn | 40.22 Bn |
| 10 | Anterix | 1.51 Bn | 1.22 Bn | - | 212.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212.13 Mn |
| Mar 31, 2026 | 202.89 Mn |
| Dec 31, 2025 | 181.05 Mn |
| Sep 30, 2025 | 180.03 Mn |
| Jun 30, 2025 | 174.81 Mn |
| Mar 31, 2025 | 176.50 Mn |
| Dec 31, 2024 | 181.93 Mn |
| Sep 30, 2024 | 178.17 Mn |
| Jun 30, 2024 | 172.36 Mn |
| Mar 31, 2024 | 163.86 Mn |
| Dec 31, 2023 | 148.62 Mn |
| Sep 30, 2023 | 103.78 Mn |
| Jun 30, 2023 | 98.13 Mn |
| Mar 31, 2023 | 98.77 Mn |
| Dec 31, 2022 | 98.58 Mn |
| Sep 30, 2022 | 89.85 Mn |
| Jun 30, 2022 | 89.85 Mn |
| Mar 31, 2022 | 91.75 Mn |
| Dec 31, 2021 | 92.43 Mn |
| Sep 30, 2021 | 43.49 Mn |
API Access
Anterix Total 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-liabilities&ticker=ATEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();