Research Solutions (RSSS) Selling, General & Administrative (2010 - 2026)
Research Solutions (RSSS) reported Selling, General & Administrative of $5.25 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 8.9% from $4.82 million a year earlier and up 7.0% from the prior quarter.
Research Solutions (RSSS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Research Solutions posted Selling, General & Administrative of $20.23 million, down 1.1% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 13.9% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $20.45 million in FY2025 (+4.5%), $19.57 million in FY2024 (+35.8%), $14.41 million in FY2023 (+5.7%) and $13.63 million in FY2022 (+29.1%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Selling, General & Administrative since fiscal Q3 2025.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q1 2024 (growth of 60.3%); the low point was fiscal Q3 2026 (a decline of 9.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $4.91 million (Q3 2026), $5.12 million (Q2 2026) and $4.95 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 50.59 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Research Solutions | 72.05 Mn | 23.15 Mn | 6.40 Mn | 5.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.25 Mn |
| Mar 31, 2026 | 4.91 Mn |
| Dec 31, 2025 | 5.12 Mn |
| Sep 30, 2025 | 4.95 Mn |
| Jun 30, 2025 | 4.82 Mn |
| Mar 31, 2025 | 5.40 Mn |
| Dec 31, 2024 | 5.42 Mn |
| Sep 30, 2024 | 4.81 Mn |
| Jun 30, 2024 | 4.67 Mn |
| Mar 31, 2024 | 5.08 Mn |
| Dec 31, 2023 | 4.75 Mn |
| Sep 30, 2023 | 5.07 Mn |
| Jun 30, 2023 | 3.64 Mn |
| Mar 31, 2023 | 3.88 Mn |
| Dec 31, 2022 | 3.73 Mn |
| Sep 30, 2022 | 3.16 Mn |
| Jun 30, 2022 | 3.72 Mn |
| Mar 31, 2022 | 3.57 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Sep 30, 2021 | 3.02 Mn |
Research Solutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=RSSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RSSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();