Singularity Future Technology (SGLY) EV to EBITDA (2014 - 2018)
Singularity Future Technology's (SGLY) EV to EBITDA came in at 4.02 for fiscal Q4 2018 (quarter ended Jun 30, 2018), down 18.8% from 4.95 a year earlier.
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Analysis
Singularity Future Technology (SGLY) EV to EBITDA (2014 - 2018) Analysis & Trends
Since fiscal Q4 2014, Singularity Future Technology has reported EV to EBITDA for 14 quarters.
- In prior fiscal years, Singularity Future Technology's EV to EBITDA was 4.95 in FY2017, 3.68 in FY2015 (-64.0%) and 10.23 in FY2014.
- Quarterly EV to EBITDA has run from a low of -0.23 in fiscal Q3 2018 to a high of 16.53 in fiscal Q2 2017 over five years.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was -0.23 (Q3 2018), 7.03 (Q2 2018) and 5.46 (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Singularity Future Technology | 180,447.58 | -28.13 Mn | 15,175.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 4.02 |
| Mar 31, 2018 | -0.23 |
| Dec 31, 2017 | 7.03 |
| Sep 30, 2017 | 5.46 |
| Jun 30, 2017 | 4.95 |
| Mar 31, 2017 | 5.09 |
| Dec 31, 2016 | 16.53 |
| Dec 31, 2015 | 8.80 |
| Sep 30, 2015 | 0.80 |
| Jun 30, 2015 | 3.68 |
| Mar 31, 2015 | 3.22 |
| Dec 31, 2014 | 3.91 |
| Sep 30, 2014 | 7.14 |
| Jun 30, 2014 | 10.23 |
API Access
Singularity Future Technology EV to EBITDA 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=ev-to-ebitda&ticker=SGLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SGLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();