Research Solutions (RSSS) Non Operating Income (2013 - 2019)
Research Solutions (RSSS) recorded Non Operating Income of $26,527 in fiscal Q2 2020 (quarter ended Dec 31, 2019), up 11.6% from $23,764 a year earlier and up 3.8% from the prior quarter.
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Analysis
Research Solutions (RSSS) Non Operating Income (2013 - 2019) Analysis & Trends
On a TTM basis, Research Solutions' Non Operating Income came in at $112,135 as of Dec 31, 2019, up 34.6% year-over-year; for FY2019 (ended Jun 30, 2019), it was $107,308, up 98.1% from FY2018.
- Across earlier fiscal years, Non Operating Income came in at $54,179 in FY2018 (+356.8%), $11,861 in FY2017, -$48,993 in FY2016 and -$16,841 in FY2015.
- Quarterly Non Operating Income has ranged from -$32,028 in fiscal Q3 2016 to $32,184 in fiscal Q4 2019 over the past five years.
- On a year-over-year basis, Non Operating Income has increased for six consecutive quarters, with growth averaging 86.0% over the last seven quarters.
- The year-over-year growth in Non Operating Income has ranged between 8.8% (fiscal Q1 2020) and 473.2% (fiscal Q1 2018) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $25,549 (Q1 2020), $32,184 (Q4 2019) and $27,875 (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (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 | 12.65 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -576.80 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | -410,000.00 |
| 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, 2019 | 26,527.00 |
| Sep 30, 2019 | 25,549.00 |
| Jun 30, 2019 | 32,184.00 |
| Mar 31, 2019 | 27,875.00 |
| Dec 31, 2018 | 23,764.00 |
| Sep 30, 2018 | 23,485.00 |
| Jun 30, 2018 | 20,296.00 |
| Mar 31, 2018 | 15,769.00 |
| Dec 31, 2017 | 8,312.00 |
| Sep 30, 2017 | 9,802.00 |
| Jun 30, 2017 | 584.00 |
| Mar 31, 2017 | 7,143.00 |
| Dec 31, 2016 | 2,424.00 |
| Sep 30, 2016 | 1,710.00 |
| Jun 30, 2016 | -16,382.00 |
| Mar 31, 2016 | -32,028.00 |
| Dec 31, 2015 | 1,641.00 |
| Sep 30, 2015 | -2,224.00 |
| Jun 30, 2015 | -6,073.00 |
| Mar 31, 2015 | -3,600.00 |
API Access
Research Solutions Non Operating Income 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-income&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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-income&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();