Telos (TLS) Short-Term Debt repayments (2011 - 2016)
Telos' Short-Term Debt repayments came in at $1.21 million for Q4 2016, down 96.8% from $37.35 million a year earlier and down 91.8% from the prior quarter.
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Analysis
Telos (TLS) Short-Term Debt repayments (2011 - 2016) Analysis & Trends
For FY2016, Telos' Short-Term Debt repayments was $75.64 million, down 45.6% from FY2015.
- Short-Term Debt repayments has declined in each of the last four years, with a five-year compound annual growth rate of -21.4% (FY2011 to FY2016).
- Going back by year, Short-Term Debt repayments was $139.12 million in FY2015 (-18.8%), $171.36 million in FY2014 (-29.6%), $243.48 million in FY2013 (-6.1%) and $259.28 million in FY2012 (+2.5%).
- The Q4 2016 figure represents the lowest quarterly Short-Term Debt repayments in data going back to Q1 2011.
- Year-over-year, Short-Term Debt repayments has declined for 12 consecutive quarters, with an average decline of 30.5% over the last eight quarters.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in Q4 2013 (growth of 11.9%), and the weakest in Q4 2016 (a decline of 96.8%).
- Business Quant data shows TLS's Short-Term Debt repayments at $14.88 million (Q3 2016), $28.57 million (Q2 2016) and $30.98 million (Q1 2016) in the three quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 474.88 Bn | 443.83 Bn | 1.64 Bn | - |
| 2 | Oracle | 366.95 Bn | 239.08 Bn | - | - |
| 3 | Sap Se | 281.22 Bn | 209.00 Bn | 8.40 Bn | - |
| 4 | Salesforce | 204.00 Bn | 159.87 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 161.26 Bn | 139.72 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 123.03 Bn | 105.16 Bn | 2.51 Bn | - |
| 7 | Intuit | 97.53 Bn | 76.87 Bn | 3.44 Bn | - |
| 8 | Relx | 74.50 Bn | 73.60 Bn | - | - |
| 9 | Thomson Reuters | 54.76 Bn | 51.54 Bn | - | - |
| 10 | Telos | 341.52 Mn | 128.41 Mn | 16.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 1.21 Mn |
| Sep 30, 2016 | 14.88 Mn |
| Jun 30, 2016 | 28.57 Mn |
| Mar 31, 2016 | 30.98 Mn |
| Dec 31, 2015 | 37.35 Mn |
| Sep 30, 2015 | 34.53 Mn |
| Jun 30, 2015 | 34.45 Mn |
| Mar 31, 2015 | 32.80 Mn |
| Dec 31, 2014 | 39.02 Mn |
| Sep 30, 2014 | 38.63 Mn |
| Jun 30, 2014 | 39.82 Mn |
| Mar 31, 2014 | 53.89 Mn |
| Dec 31, 2013 | 75.30 Mn |
| Sep 30, 2013 | 50.32 Mn |
| Jun 30, 2013 | 63.74 Mn |
| Mar 31, 2013 | 54.11 Mn |
| Dec 31, 2012 | 67.31 Mn |
| Sep 30, 2012 | 74.80 Mn |
| Jun 30, 2012 | 65.16 Mn |
| Mar 31, 2012 | 52.01 Mn |
API Access
Telos Short-Term Debt repayments 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-repayments&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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-repayments&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();