Anterix (ATEX) Operating Expenses (2013 - 2026)
Anterix's Operating Expenses came in at $12.86 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 6.9% from $13.81 million a year earlier and down 15.6% from the prior quarter.
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Analysis
Anterix (ATEX) Operating Expenses (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Anterix reported Operating Expenses of $51.78 million, down 7.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $52.73 million, down 10.4% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $58.84 million in FY2025 (+3.8%), $56.66 million in FY2024 (-0.2%), $56.77 million in FY2023 (+15.8%) and $49.03 million in FY2022 (-5.4%).
- The five-year range for quarterly Operating Expenses is $11.77 million (fiscal Q3 2026) to $16.63 million (fiscal Q1 2025).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 5.4%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2026 (growth of 24.4%), and the weakest in fiscal Q2 2022 (a decline of 30.4%).
- Business Quant data shows ATEX's Operating Expenses at $15.23 million (Q4 2026), $11.77 million (Q3 2026) and $11.93 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 27.07 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 17.30 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 24.52 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | -115.06 Mn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 24.78 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | -125.27 Mn |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | 309.31 Mn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 3.06 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | -904.61 Mn |
| 10 | Anterix | 1.53 Bn | 1.25 Bn | - | 12.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.86 Mn |
| Mar 31, 2026 | 15.23 Mn |
| Dec 31, 2025 | 11.77 Mn |
| Sep 30, 2025 | 11.93 Mn |
| Jun 30, 2025 | 13.81 Mn |
| Mar 31, 2025 | 12.24 Mn |
| Dec 31, 2024 | 15.29 Mn |
| Sep 30, 2024 | 14.68 Mn |
| Jun 30, 2024 | 16.63 Mn |
| Mar 31, 2024 | 13.76 Mn |
| Dec 31, 2023 | 14.07 Mn |
| Sep 30, 2023 | 14.57 Mn |
| Jun 30, 2023 | 14.26 Mn |
| Mar 31, 2023 | 13.99 Mn |
| Dec 31, 2022 | 14.78 Mn |
| Sep 30, 2022 | 13.94 Mn |
| Jun 30, 2022 | 14.05 Mn |
| Mar 31, 2022 | 12.12 Mn |
| Dec 31, 2021 | 12.70 Mn |
| Sep 30, 2021 | 12.08 Mn |
API Access
Anterix Operating 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=operating-expenses&ticker=ATEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();