Anterix (ATEX) Other Operating Expenses (2013 - 2026)
Anterix (ATEX) posted Other Operating Expenses of $2.01 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 24.4% from $1.62 million a year earlier but down 23.3% from the prior quarter.
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Analysis
Anterix (ATEX) Other Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Anterix was $7.76 million, up 24.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $6.86 million, up 11.5% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 8.3% (FY2021 to FY2026).
- In prior fiscal years, Anterix's Other Operating Expenses was $6.16 million in FY2025 (+7.3%), $5.74 million in FY2024 (-0.3%), $5.75 million in FY2023 (+30.3%) and $4.42 million in FY2022 (-4.0%).
- Quarterly Other Operating Expenses has run from a low of $1.33 million in fiscal Q2 2022 to a high of $2.62 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last four quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2026, with growth of 57.0%; the weakest was fiscal Q2 2022, with a decline of 44.6%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $2.62 million (Q4 2026), $1.54 million (Q3 2026) and $1.58 million (Q2 2026).
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 |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 2.62 Mn |
| Dec 31, 2025 | 1.54 Mn |
| Sep 30, 2025 | 1.58 Mn |
| Jun 30, 2025 | 1.62 Mn |
| Mar 31, 2025 | 1.67 Mn |
| Dec 31, 2024 | 1.45 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 2.03 Mn |
| Mar 31, 2024 | 1.92 Mn |
| Dec 31, 2023 | 1.58 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.52 Mn |
| Mar 31, 2023 | 2.26 Mn |
| Dec 31, 2022 | 1.76 Mn |
| Sep 30, 2022 | 1.54 Mn |
| Jun 30, 2022 | 1.60 Mn |
| Mar 31, 2022 | 1.60 Mn |
| Dec 31, 2021 | 1.59 Mn |
| Sep 30, 2021 | 1.33 Mn |
API Access
Anterix Other 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=other-operating-expenses&ticker=ATEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();