Singularity Future Technology (SGLY) Price to Earnings (2014 - 2018)
Singularity Future Technology's (SGLY) Price to Earnings stood at 33.95 in fiscal Q4 2018 (quarter ended Jun 30, 2018), up 322.8% from 8.03 a year earlier and up 336.6% from the prior quarter.
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Analysis
Singularity Future Technology (SGLY) Price to Earnings (2014 - 2018) Analysis & Trends
Starting with fiscal Q4 2014, Singularity Future Technology's Price to Earnings history includes 13 quarters.
- Across earlier fiscal years, Price to Earnings came in at 8.03 in FY2017, 13.65 in FY2015 (+111.1%) and 6.47 in FY2014.
- The fiscal Q4 2018 figure is the highest quarterly Price to Earnings in data going back to fiscal Q4 2014.
- Per Business Quant, the preceding three fiscal quarters came in at 7.78 (Q3 2018), 8.90 (Q2 2018) and 8.63 (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Singularity Future Technology | 331,304.67 | -43.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 33.95 |
| Mar 31, 2018 | 7.78 |
| Dec 31, 2017 | 8.90 |
| Sep 30, 2017 | 8.63 |
| Jun 30, 2017 | 8.03 |
| Mar 31, 2017 | 9.35 |
| Dec 31, 2016 | 28.92 |
| Sep 30, 2015 | 12.21 |
| Jun 30, 2015 | 13.65 |
| Mar 31, 2015 | 6.84 |
| Dec 31, 2014 | 7.65 |
| Sep 30, 2014 | 8.15 |
| Jun 30, 2014 | 6.47 |
API Access
Singularity Future Technology Price to Earnings 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-earnings&ticker=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SGLY", "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-earnings&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();