Anterix (ATEX) Debt Ratio (2014 - 2017)
Anterix's Debt Ratio came in at 0.00 for fiscal Q3 2018 (quarter ended Dec 31, 2017), down 44.3% from 0.00 a year earlier but up 2.5% from the prior quarter.
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Analysis
Anterix (ATEX) Debt Ratio (2014 - 2017) Analysis & Trends
Going back to fiscal Q4 2014, Anterix's Debt Ratio data covers 10 quarters.
- Going back by fiscal year, Debt Ratio was 0.00 in FY2016 and 4.24 in FY2014.
- The five-year range for quarterly Debt Ratio is 0.00 (fiscal Q4 2017) to 4.24 (fiscal Q4 2014).
- Year-over-year, Debt Ratio has declined for five consecutive quarters, with an average decline of 38.5% over the last five quarters.
- Business Quant data shows ATEX's Debt Ratio at 0.00 (Q2 2018), 0.00 (Q1 2018) and 0.00 (Q4 2017) in the three fiscal quarters before Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 0.40 |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 0.40 |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 0.34 |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | 0.35 |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 0.35 |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | 0.41 |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | 0.01 |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 0.44 |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | 0.00 |
| 10 | Anterix | 1.53 Bn | 1.25 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 0.00 |
| Sep 30, 2017 | 0.00 |
| Jun 30, 2017 | 0.00 |
| Mar 31, 2017 | 0.00 |
| Dec 31, 2016 | 0.00 |
| Sep 30, 2016 | 0.00 |
| Jun 30, 2016 | 0.00 |
| Mar 31, 2016 | 0.00 |
| Dec 31, 2015 | 0.00 |
| Mar 31, 2014 | 4.24 |
API Access
Anterix Debt Ratio 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=debt-ratio&ticker=ATEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();