Research Solutions (RSSS) Operating Income (2010 - 2026)
Research Solutions' Operating Income was $842,375 in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 30.1% from $1.2 million a year earlier and down 19.4% from the prior quarter.
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Analysis
Research Solutions (RSSS) Operating Income (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Income at Research Solutions came in at $3.59 million, up 43.5% from FY2025.
- In earlier fiscal years, Operating Income was $2.5 million in FY2025, -$769,543 in FY2024, $238,608 in FY2023 and -$1.63 million in FY2022.
- Quarterly Operating Income has moved between -$1.1 million (fiscal Q1 2024) and $1.2 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Operating Income was higher in five of the last six quarters, with growth averaging 236.7%.
- The best year-over-year quarter for Operating Income over five years was fiscal Q2 2026 (growth of 696.3%); the worst was fiscal Q3 2024 (a decline of 34.2%).
- Per Business Quant data, RSSS's Operating Income in the three fiscal quarters before Q4 2026 was $1.04 million (Q3 2026), $739,350 (Q2 2026) and $961,671 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 76.00 Mn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 842,375.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 842,375.00 |
| Mar 31, 2026 | 1.04 Mn |
| Dec 31, 2025 | 739,350.00 |
| Sep 30, 2025 | 961,671.00 |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 556,922.00 |
| Dec 31, 2024 | 92,847.00 |
| Sep 30, 2024 | 646,691.00 |
| Jun 30, 2024 | 661,743.00 |
| Mar 31, 2024 | 87,663.00 |
| Dec 31, 2023 | -419,997.00 |
| Sep 30, 2023 | -1.10 Mn |
| Jun 30, 2023 | 255,283.00 |
| Mar 31, 2023 | 133,139.00 |
| Dec 31, 2022 | -329,443.00 |
| Sep 30, 2022 | 179,629.00 |
| Jun 30, 2022 | -443,614.00 |
| Mar 31, 2022 | -339,945.00 |
| Dec 31, 2021 | -481,849.00 |
| Sep 30, 2021 | -366,508.00 |
API Access
Research Solutions 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=operating-income&ticker=RSSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-income&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();