Inseego (INSG) Price to Book (2010 - 2020)
Inseego's (INSG) Price to Book was 21.55 for Q1 2020.
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Analysis
Inseego (INSG) Price to Book (2010 - 2020) Analysis & Trends
For FY2015, Price to Book at Inseego was 2.91, down 27.2% from FY2014.
- By year, Price to Book came in at 4.00 in FY2014 (+122.4%), 1.80 in FY2013 (+243.4%), 0.52 in FY2012 (-13.9%) and 0.61 in FY2011 (-62.9%).
- The Q1 2020 figure ranks as the highest quarterly Price to Book since Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn |
| 10 | Inseego | 71.67 Mn | 11.05 Mn | 14.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 21.55 |
| Sep 30, 2016 | 21.76 |
| Jun 30, 2016 | 3.87 |
| Mar 31, 2016 | 4.31 |
| Dec 31, 2015 | 2.91 |
| Sep 30, 2015 | 2.36 |
| Jun 30, 2015 | 2.59 |
| Mar 31, 2015 | 7.48 |
| Dec 31, 2014 | 4.00 |
| Sep 30, 2014 | 6.46 |
| Jun 30, 2014 | 3.16 |
| Mar 31, 2014 | 1.67 |
| Dec 31, 2013 | 1.80 |
| Sep 30, 2013 | 1.35 |
| Jun 30, 2013 | 1.92 |
| Dec 31, 2012 | 0.52 |
| Sep 30, 2012 | 0.65 |
| Jun 30, 2012 | 0.64 |
| Mar 31, 2012 | 0.84 |
| Dec 31, 2011 | 0.61 |
API Access
Inseego Price to Book 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=price-to-book&ticker=INSG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "INSG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=INSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();