Research Solutions (RSSS) Non Operating Interest Expenses (2010 - 2017)
Research Solutions (RSSS) recorded Non Operating Interest Expenses of $3,000 in 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) Non Operating Interest Expenses (2010 - 2017) Analysis & Trends
On a TTM basis, Research Solutions' Non Operating Interest Expenses came in at $12,000 as of Dec 31, 2017, down 22.0% year-over-year; for FY2017 (ended Jun 30, 2017), it was $12,000, down 31.0% from FY2016.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -44.1% (FY2012 to FY2017).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $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 Non Operating Interest Expenses has ranged from $993.00 in fiscal Q1 2014 to $16,946 in fiscal Q3 2013 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in 1 of the last eight quarters, with an average decline of 10.1%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 222.1% in fiscal Q1 2015, against a decline of 97.3% in fiscal Q1 2014 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $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) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();