Anterix (ATEX) Accumulated Expenses (2014 - 2026)
Anterix's Accumulated Expenses came in at $9.02 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 470.4% from $1.58 million a year earlier.
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Analysis
Anterix (ATEX) Accumulated Expenses (2014 - 2026) Analysis & Trends
Going back to fiscal Q4 2014, Anterix's Accumulated Expenses data covers 19 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 56.8% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $1.58 million in FY2025 (-9.4%), $1.75 million in FY2024 (+37.9%), $1.27 million in FY2023 (+72.4%) and $735,000 in FY2022 (-22.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn |
| 10 | Anterix | 1.53 Bn | 1.25 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.02 Mn |
| Mar 31, 2025 | 1.58 Mn |
| Mar 31, 2024 | 1.75 Mn |
| Mar 31, 2023 | 1.27 Mn |
| Mar 31, 2022 | 735,000.00 |
| Mar 31, 2021 | 951,000.00 |
| Dec 31, 2020 | 36,000.00 |
| Sep 30, 2020 | 89,000.00 |
| Jun 30, 2020 | 341,000.00 |
| Mar 31, 2020 | 1.96 Mn |
| Dec 31, 2019 | 1.18 Mn |
| Sep 30, 2019 | 1.76 Mn |
| Jun 30, 2019 | 2.26 Mn |
| Mar 31, 2019 | 3.58 Mn |
| Mar 31, 2018 | 590,000.00 |
| Mar 31, 2017 | 222,000.00 |
| Mar 31, 2016 | 513,000.00 |
| Mar 31, 2015 | 471,235.00 |
| Mar 31, 2014 | 92,072.00 |
API Access
Anterix Accumulated 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=accumulated-expenses&ticker=ATEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();