QS Energy (QSEP) Price to Book (2013 - 2015)
QS Energy's Price to Book was 308.24 in Q2 2015, up 389.4% from 62.98 a year earlier and up 102.9% from the prior quarter.
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Analysis
QS Energy (QSEP) Price to Book (2013 - 2015) Analysis & Trends
For FY2014, Price to Book at QS Energy came in at 62.19, up 1.4% from FY2013.
- In earlier years, Price to Book was 61.32 in FY2013.
- The Q2 2015 figure marks the highest quarterly Price to Book in data going back to Q1 2013.
- Compared with a year earlier, Price to Book has increased for three straight quarters, with growth averaging 101.2% over the last six quarters.
- Per Business Quant data, QSEP's Price to Book in the three quarters before Q2 2015 was 151.91 (Q1 2015), 62.19 (Q4 2014) and 61.92 (Q3 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | QS Energy | 56.46 Mn | 56.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 308.24 |
| Mar 31, 2015 | 151.91 |
| Dec 31, 2014 | 62.19 |
| Sep 30, 2014 | 61.92 |
| Jun 30, 2014 | 62.98 |
| Mar 31, 2014 | 51.84 |
| Dec 31, 2013 | 61.32 |
| Sep 30, 2013 | 69.06 |
| Jun 30, 2013 | 50.47 |
| Mar 31, 2013 | 47.72 |
API Access
QS Energy 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=QSEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "QSEP", "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=QSEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();