Research Solutions (RSSS) Cost of Revenue (2010 - 2026)
Research Solutions' Cost of Revenue came in at $5.68 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 6.9% from $6.1 million a year earlier and down 3.0% from the prior quarter.
Research Solutions (RSSS) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Research Solutions' Cost of Revenue was $23.24 million, down 6.5% from FY2025.
- Cost of Revenue carries a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $24.86 million in FY2025 (-0.5%), $24.98 million in FY2024 (+8.6%), $23 million in FY2023 (+10.0%) and $20.91 million in FY2022 (-2.6%).
- The five-year range for quarterly Cost of Revenue is $5.03 million (fiscal Q2 2022) to $6.63 million (fiscal Q3 2024).
- Year-over-year, Cost of Revenue has declined for six consecutive quarters, with an average decline of 3.4% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q3 2023 (growth of 14.4%), and the weakest in fiscal Q3 2026 (a decline of 8.4%).
- Business Quant data shows RSSS's Cost of Revenue at $5.86 million (Q3 2026), $5.62 million (Q2 2026) and $6.09 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.39 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 109.58 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 81.71 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 297.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 129.46 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 197.00 Mn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 5.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.68 Mn |
| Mar 31, 2026 | 5.86 Mn |
| Dec 31, 2025 | 5.62 Mn |
| Sep 30, 2025 | 6.09 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Mar 31, 2025 | 6.39 Mn |
| Dec 31, 2024 | 6.09 Mn |
| Sep 30, 2024 | 6.28 Mn |
| Jun 30, 2024 | 6.49 Mn |
| Mar 31, 2024 | 6.63 Mn |
| Dec 31, 2023 | 5.83 Mn |
| Sep 30, 2023 | 6.03 Mn |
| Jun 30, 2023 | 6.04 Mn |
| Mar 31, 2023 | 6.32 Mn |
| Dec 31, 2022 | 5.31 Mn |
| Sep 30, 2022 | 5.34 Mn |
| Jun 30, 2022 | 5.28 Mn |
| Mar 31, 2022 | 5.52 Mn |
| Dec 31, 2021 | 5.03 Mn |
| Sep 30, 2021 | 5.08 Mn |
Research Solutions Cost of Revenue 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=cost-of-revenue&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();