Anterix (ATEX) Goodwill & Intangibles (2014 - 2026)
Anterix's Goodwill & Intangibles was $310.71 million in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 35.7% from $228.98 million a year earlier but down 6.1% from the prior quarter.
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Analysis
Anterix (ATEX) Goodwill & Intangibles (2014 - 2026) Analysis & Trends
From fiscal Q4 2014 onward, Anterix has reported Goodwill & Intangibles for 47 quarters.
- Goodwill & Intangibles has now increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 20.5% (FY2021 to FY2026).
- In earlier fiscal years, Goodwill & Intangibles was $228.98 million in FY2025 (+5.6%), $216.74 million in FY2024 (+7.3%), $202.04 million in FY2023 (+33.7%) and $151.17 million in FY2022 (+23.8%).
- Quarterly Goodwill & Intangibles has moved between $126.99 million (fiscal Q1 2022) and $330.78 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Goodwill & Intangibles has increased for 42 straight quarters, with growth averaging 21.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Goodwill & Intangibles ran from 1.8% in fiscal Q1 2025 to 46.6% in fiscal Q2 2026.
- Per Business Quant data, ATEX's Goodwill & Intangibles in the three fiscal quarters before Q4 2026 was $330.78 million (Q3 2026), $325.32 million (Q2 2026) and $265.32 million (Q1 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 |
|---|---|
| Mar 31, 2026 | 310.71 Mn |
| Dec 31, 2025 | 330.78 Mn |
| Sep 30, 2025 | 325.32 Mn |
| Jun 30, 2025 | 265.32 Mn |
| Mar 31, 2025 | 228.98 Mn |
| Dec 31, 2024 | 246.22 Mn |
| Sep 30, 2024 | 221.86 Mn |
| Jun 30, 2024 | 219.78 Mn |
| Mar 31, 2024 | 216.74 Mn |
| Dec 31, 2023 | 213.72 Mn |
| Sep 30, 2023 | 197.57 Mn |
| Jun 30, 2023 | 215.80 Mn |
| Mar 31, 2023 | 202.04 Mn |
| Dec 31, 2022 | 169.66 Mn |
| Sep 30, 2022 | 159.47 Mn |
| Jun 30, 2022 | 154.88 Mn |
| Mar 31, 2022 | 151.17 Mn |
| Dec 31, 2021 | 144.45 Mn |
| Sep 30, 2021 | 141.12 Mn |
| Jun 30, 2021 | 126.99 Mn |
API Access
Anterix Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=ATEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();