Research Solutions (RSSS) Long-Term Debt Repayments (2010 - 2014)
Research Solutions' Long-Term Debt Repayments came in at $80,762 for fiscal Q4 2014 (quarter ended Jun 30, 2014), down 70.9% from $277,862 a year earlier but up 0.1% from the prior quarter.
Research Solutions (RSSS) Long-Term Debt Repayments (2010 - 2014) Analysis & Trends
For FY2014 (ended Jun 30, 2014), Research Solutions' Long-Term Debt Repayments was $276,289, down 62.6% from FY2013.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of -0.2% (FY2011 to FY2014).
- Going back by fiscal year, Long-Term Debt Repayments was $738,783 in FY2013 (-14.9%), $868,006 in FY2012 (+212.4%) and $277,892 in FY2011.
- The five-year range for quarterly Long-Term Debt Repayments is $8,226 (fiscal Q1 2011) to $277,862 (fiscal Q4 2013).
- Year-over-year, Long-Term Debt Repayments has declined for four consecutive quarters, with an average decline of 33.7% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q3 2013 (growth of 56.3%), and the weakest in fiscal Q4 2014 (a decline of 70.9%).
- Business Quant data shows RSSS's Long-Term Debt Repayments at $80,670 (Q3 2014), $66,709 (Q2 2014) and $48,148 (Q1 2014) in the three fiscal quarters before Q4 2014.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.27 Bn | 23.51 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.99 Bn | 21.76 Bn | 392.58 Mn | - |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | - |
| 5 | Toast | 18.86 Bn | 11.53 Bn | 516.00 Mn | - |
| 6 | Trimble | 14.35 Bn | 13.42 Bn | 674.90 Mn | 582.50 Mn |
| 7 | Manhattan Associates | 13.59 Bn | 12.58 Bn | 168.33 Mn | - |
| 8 | Costar | 13.30 Bn | 7.25 Bn | 728.00 Mn | - |
| 9 | Bentley Systems | 11.87 Bn | 11.33 Bn | 336.74 Mn | 691.93 Mn |
| 10 | Research Solutions | 62.94 Mn | 14.04 Mn | 6.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 104,106.00 |
| Mar 31, 2014 | 92,533.00 |
| Dec 31, 2013 | 77,374.00 |
| Sep 30, 2013 | 57,027.00 |
| Jun 30, 2013 | 287,783.00 |
| Mar 31, 2013 | 200,444.00 |
| Dec 31, 2012 | 149,733.00 |
| Sep 30, 2012 | 141,375.00 |
| Jun 30, 2012 | 274,233.00 |
| Mar 31, 2012 | 127,636.00 |
| Dec 31, 2011 | 271,655.00 |
| Sep 30, 2011 | 322,812.00 |
| Jun 30, 2011 | 396,844.00 |
| Mar 31, 2011 | 8,504.00 |
| Dec 31, 2010 | 8,638.00 |
| Sep 30, 2010 | 8,226.00 |
Research Solutions Long-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=long-term-debt-repayments&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RSSS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();