Airgain (AIRG) Debt Ratio (2015 - 2018)
Airgain's Debt Ratio was 0.01 in Q3 2018, down 78.2% from 0.03 a year earlier and down 50.7% from the prior quarter.
Analysis
Airgain (AIRG) Debt Ratio (2015 - 2018) Analysis & Trends
For FY2017, Debt Ratio at Airgain came in at 0.02, down 51.2% from FY2016.
- In earlier years, Debt Ratio was 0.05 in FY2016 (-83.0%) and 0.28 in FY2015.
- The Q3 2018 figure marks the lowest quarterly Debt Ratio in data going back to Q4 2015.
- Compared with a year earlier, Debt Ratio has declined for six straight quarters, with an average decline of 69.7% over the last seven quarters.
- Per Business Quant data, AIRG's Debt Ratio in the three quarters before Q3 2018 was 0.01 (Q2 2018), 0.02 (Q1 2018) and 0.02 (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 0.20 |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 0.23 |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 0.27 |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 0.09 |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 0.23 |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 0.06 |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 0.24 |
| 10 | Airgain | 52.13 Mn | 22.95 Mn | 5.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 0.01 |
| Jun 30, 2018 | 0.01 |
| Mar 31, 2018 | 0.02 |
| Dec 31, 2017 | 0.02 |
| Sep 30, 2017 | 0.03 |
| Jun 30, 2017 | 0.04 |
| Mar 31, 2017 | 0.04 |
| Dec 31, 2016 | 0.05 |
| Sep 30, 2016 | 0.11 |
| Jun 30, 2016 | 0.22 |
| Dec 31, 2015 | 0.28 |
API Access
Airgain 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=AIRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "AIRG", "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=AIRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();