Research Solutions (RSSS) Operating Leases (2017 - 2019)
Research Solutions' Operating Leases was $11,444 in fiscal Q2 2020 (quarter ended Dec 31, 2019), down 92.1% from $145,514 a year earlier and down 74.9% from the prior quarter.
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Analysis
Research Solutions (RSSS) Operating Leases (2017 - 2019) Analysis & Trends
At the end of FY2019 (ended Jun 30, 2019), Operating Leases at Research Solutions came in at $79,326, down 62.0% from FY2018.
- In earlier fiscal years, Operating Leases was $208,513 in FY2018 (-36.5%) and $328,299 in FY2017.
- The fiscal Q2 2020 figure marks the lowest quarterly Operating Leases in data going back to fiscal Q4 2017.
- Compared with a year earlier, Operating Leases has declined for seven straight quarters, with an average decline of 57.8% over the last seven quarters.
- Per Business Quant data, RSSS's Operating Leases in the three fiscal quarters before Q2 2020 was $45,550 (Q1 2020), $79,326 (Q4 2019) and $112,775 (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 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, 2019 | 11,444.00 |
| Sep 30, 2019 | 45,550.00 |
| Jun 30, 2019 | 79,326.00 |
| Mar 31, 2019 | 112,775.00 |
| Dec 31, 2018 | 145,514.00 |
| Sep 30, 2018 | 177,167.00 |
| Jun 30, 2018 | 208,513.00 |
| Mar 31, 2018 | 239,555.00 |
| Dec 31, 2017 | 269,924.00 |
| Sep 30, 2017 | 299,253.00 |
| Jun 30, 2017 | 328,299.00 |
API Access
Research Solutions Operating Leases 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=operating-leases&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();