Research Solutions (RSSS) Interest Expenses (2010 - 2017)
Research Solutions (RSSS) posted Interest Expenses of $3,000 for fiscal Q2 2018 (quarter ended Dec 31, 2017), unchanged from $3,000 a year earlier and unchanged from the prior quarter.
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Analysis
Research Solutions (RSSS) Interest Expenses (2010 - 2017) Analysis & Trends
For the trailing twelve months through Dec 31, 2017, Interest Expenses at Research Solutions was $12,000, down 22.0% year-over-year; for FY2017 (ended Jun 30, 2017), it came in at $12,000, down 31.0% from FY2016.
- Annual Interest Expenses shows a five-year compound annual growth rate of -44.1% (FY2012 to FY2017).
- In prior fiscal years, Research Solutions' Interest Expenses was $17,382 in FY2016 (-3.7%), $18,056 in FY2015 (+30.7%), $13,817 in FY2014 (-84.5%) and $89,411 in FY2013 (-59.5%).
- Quarterly Interest Expenses has run from a low of $993.00 in fiscal Q1 2014 to a high of $16,946 in fiscal Q3 2013 over five years.
- On a year-over-year basis, Interest Expenses increased in 1 of the last eight quarters, with an average decline of 10.1%.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q1 2015, with growth of 222.1%; the weakest was fiscal Q1 2014, with a decline of 97.3%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $3,000 (Q1 2018), $3,000 (Q4 2017) and $3,000 (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 15.80 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 20.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 3,000.00 |
| Sep 30, 2017 | 3,000.00 |
| Jun 30, 2017 | 3,000.00 |
| Mar 31, 2017 | 3,000.00 |
| Dec 31, 2016 | 3,000.00 |
| Sep 30, 2016 | 3,000.00 |
| Jun 30, 2016 | 3,000.00 |
| Mar 31, 2016 | 6,389.00 |
| Dec 31, 2015 | 3,000.00 |
| Sep 30, 2015 | 4,993.00 |
| Jun 30, 2015 | 6,390.00 |
| Mar 31, 2015 | 3,875.00 |
| Dec 31, 2014 | 4,593.00 |
| Sep 30, 2014 | 3,198.00 |
| Jun 30, 2014 | 5,473.00 |
| Mar 31, 2014 | 3,000.00 |
| Dec 31, 2013 | 4,351.00 |
| Sep 30, 2013 | 993.00 |
| Jun 30, 2013 | 12,905.00 |
| Mar 31, 2013 | 16,946.00 |
API Access
Research Solutions Interest Expenses 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=interest-expenses&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();