Anterix (ATEX) Change in Receivables (2014 - 2021)
Anterix (ATEX) recorded Change in Receivables of -$4,000 in FY2022 (year ended Mar 31, 2022), compared with -$57,000 in FY2021.
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Analysis
Anterix (ATEX) Change in Receivables (2014 - 2021) Analysis & Trends
Starting with FY2013, Anterix's Change in Receivables history includes 10 fiscal years.
- The FY2022 figure is the highest annual Change in Receivables since FY2018.
- Per Business Quant data, ATEX's Change in Receivables was -$57,000 in FY2021, -$464,000 in FY2020, -$273,000 in FY2019 and $320,000 in FY2018 (+92.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (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 | 498.00 Mn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 299.00 Mn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | - |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | -38.00 Mn |
| 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 | -136.24 Mn |
| 10 | Anterix | 1.53 Bn | 1.25 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | -4,000.00 |
| Mar 31, 2021 | -15,000.00 |
| Dec 31, 2020 | -40,000.00 |
| Sep 30, 2020 | 34,000.00 |
| Jun 30, 2020 | -36,000.00 |
| Mar 31, 2020 | -25,000.00 |
| Dec 31, 2019 | -58,000.00 |
| Sep 30, 2019 | -199,000.00 |
| Jun 30, 2019 | -182,000.00 |
| Mar 31, 2019 | -201,000.00 |
| Dec 31, 2018 | -276,000.00 |
| Sep 30, 2018 | 144,000.00 |
| Jun 30, 2018 | 60,000.00 |
| Mar 31, 2018 | 167,000.00 |
| Dec 31, 2017 | 60,000.00 |
| Sep 30, 2017 | -187,000.00 |
| Jun 30, 2017 | 280,000.00 |
| Mar 31, 2017 | -218,000.00 |
| Dec 31, 2016 | 246,000.00 |
| Sep 30, 2016 | 76,000.00 |
API Access
Anterix Change in Receivables 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=change-in-receivables&ticker=ATEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();