Telos (TLS) Short-Term Debt issuances (2011 - 2016)
Telos' Short-Term Debt issuances was $1 million in Q4 2016, down 97.4% from $37.77 million a year earlier and down 92.0% from the prior quarter.
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Analysis
Telos (TLS) Short-Term Debt issuances (2011 - 2016) Analysis & Trends
For FY2016, Short-Term Debt issuances at Telos came in at $70.03 million, down 49.6% from FY2015.
- Short-Term Debt issuances has now declined for four consecutive years, with a five-year compound annual growth rate of -22.9% (FY2011 to FY2016).
- In earlier years, Short-Term Debt issuances was $139.07 million in FY2015 (-14.7%), $163.11 million in FY2014 (-33.4%), $244.75 million in FY2013 (-6.1%) and $260.72 million in FY2012 (+1.4%).
- The Q4 2016 figure marks the lowest quarterly Short-Term Debt issuances in data going back to Q1 2011.
- Compared with a year earlier, Short-Term Debt issuances has declined for four straight quarters, with an average decline of 30.7% over the last eight quarters.
- The best year-over-year quarter for Short-Term Debt issuances over five years was Q4 2012 (growth of 14.9%); the worst was Q4 2016 (a decline of 97.4%).
- Per Business Quant data, TLS's Short-Term Debt issuances in the three quarters before Q4 2016 was $12.5 million (Q3 2016), $28.67 million (Q2 2016) and $27.86 million (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn | - |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - | - |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn | - |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn | - |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn | - |
| 8 | Relx | 74.61 Bn | 73.70 Bn | - | - |
| 9 | Thomson Reuters | 55.33 Bn | 52.12 Bn | - | - |
| 10 | Telos | 342.27 Mn | 129.16 Mn | 16.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 1.00 Mn |
| Sep 30, 2016 | 12.50 Mn |
| Jun 30, 2016 | 28.67 Mn |
| Mar 31, 2016 | 27.86 Mn |
| Dec 31, 2015 | 37.77 Mn |
| Sep 30, 2015 | 33.93 Mn |
| Jun 30, 2015 | 37.92 Mn |
| Mar 31, 2015 | 29.45 Mn |
| Dec 31, 2014 | 37.18 Mn |
| Sep 30, 2014 | 38.64 Mn |
| Jun 30, 2014 | 41.92 Mn |
| Mar 31, 2014 | 45.37 Mn |
| Dec 31, 2013 | 75.90 Mn |
| Sep 30, 2013 | 56.17 Mn |
| Jun 30, 2013 | 67.26 Mn |
| Mar 31, 2013 | 45.42 Mn |
| Dec 31, 2012 | 79.43 Mn |
| Sep 30, 2012 | 62.71 Mn |
| Jun 30, 2012 | 67.25 Mn |
| Mar 31, 2012 | 51.33 Mn |
API Access
Telos Short-Term Debt issuances 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=short-term-debt-issuances&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "ticker": "TLS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-issuances&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();