Anterix (ATEX) Cash & Equivalents (2013 - 2026)
Anterix's Cash & Equivalents came in at $116.01 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 180.0% from $41.43 million a year earlier and up 17.7% from the prior quarter.
Anterix (ATEX) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Anterix's Cash & Equivalents was $98.53 million, up 108.0% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of -3.5% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $47.37 million in FY2025 (-21.8%), $60.58 million in FY2024 (+40.3%), $43.18 million in FY2023 (-59.1%) and $105.62 million in FY2022 (-10.1%).
- The fiscal Q1 2027 figure represents the highest quarterly Cash & Equivalents since fiscal Q3 2022.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 21.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2027 (growth of 180.0%), and the weakest in fiscal Q1 2024 (a decline of 66.4%).
- Business Quant data shows ATEX's Cash & Equivalents at $98.53 million (Q4 2026), $29.53 million (Q3 2026) and $39.07 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.25 Bn | 158.59 Bn | 27.05 Bn | 4.50 Bn |
| 2 | T-Mobile US | 180.09 Bn | 162.53 Bn | 15.13 Bn | 5.62 Bn |
| 3 | At&T | 147.71 Bn | 89.17 Bn | 26.22 Bn | 10.77 Bn |
| 4 | Grupo Televisa, S.A.B | 145.45 Bn | 145.45 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.66 Bn | 52.46 Bn | - | 7.60 Bn |
| 6 | Chunghwa Telecom | 37.85 Bn | 29.87 Bn | 728.80 Mn | 1.32 Bn |
| 7 | Vodafone Group Public | 37.58 Bn | 6.97 Bn | - | 10.31 Bn |
| 8 | EchoStar | 28.99 Bn | 10.02 Bn | 647.20 Mn | 13.44 Bn |
| 9 | Bce | 19.92 Bn | 17.91 Bn | 2.79 Bn | 458.03 Mn |
| 10 | Anterix | 1.51 Bn | 1.22 Bn | - | 116.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.01 Mn |
| Mar 31, 2026 | 98.53 Mn |
| Dec 31, 2025 | 29.53 Mn |
| Sep 30, 2025 | 39.07 Mn |
| Jun 30, 2025 | 41.43 Mn |
| Mar 31, 2025 | 47.37 Mn |
| Dec 31, 2024 | 28.80 Mn |
| Sep 30, 2024 | 43.13 Mn |
| Jun 30, 2024 | 51.72 Mn |
| Mar 31, 2024 | 60.58 Mn |
| Dec 31, 2023 | 62.03 Mn |
| Sep 30, 2023 | 48.53 Mn |
| Jun 30, 2023 | 29.03 Mn |
| Mar 31, 2023 | 43.18 Mn |
| Dec 31, 2022 | 57.51 Mn |
| Sep 30, 2022 | 70.11 Mn |
| Jun 30, 2022 | 86.46 Mn |
| Mar 31, 2022 | 105.62 Mn |
| Dec 31, 2021 | 127.76 Mn |
| Sep 30, 2021 | 100.87 Mn |
Anterix Cash & Equivalents 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=cash-and-equivalents&ticker=ATEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();