Rimini Street (RMNI) Selling, General & Administrative (2016 - 2026)
Rimini Street's Selling, General & Administrative was $17.3 million in Q2 2026, up 2.7% from $16.85 million a year earlier but down 3.1% from the prior quarter.
Rimini Street (RMNI) Selling, General & Administrative (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rimini Street's Selling, General & Administrative was $70.77 million through Jun 30, 2026, up 1.8% year-over-year; for FY2025, it was $70 million, down 4.2% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $73.08 million in FY2024 (+0.1%), $73.04 million in FY2023 (-3.1%), $75.37 million in FY2022 (+17.4%) and $64.17 million in FY2021 (+22.9%).
- Quarterly Selling, General & Administrative has moved between $15.44 million (Q4 2021) and $19.95 million (Q1 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 1.8%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 20.2%); the worst was Q2 2025 (a decline of 13.8%).
- Per Business Quant data, RMNI's Selling, General & Administrative in the three quarters before Q2 2026 was $17.85 million (Q1 2026), $17.38 million (Q4 2025) and $18.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 258.00 Mn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 728.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 782.54 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 688.14 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 547.51 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 714.42 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Rimini Street | 395.74 Mn | -88.58 Mn | 67.70 Mn | 17.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.30 Mn |
| Mar 31, 2026 | 17.85 Mn |
| Dec 31, 2025 | 17.38 Mn |
| Sep 30, 2025 | 18.24 Mn |
| Jun 30, 2025 | 16.85 Mn |
| Mar 31, 2025 | 17.53 Mn |
| Dec 31, 2024 | 18.62 Mn |
| Sep 30, 2024 | 16.53 Mn |
| Jun 30, 2024 | 19.53 Mn |
| Mar 31, 2024 | 18.40 Mn |
| Dec 31, 2023 | 17.57 Mn |
| Sep 30, 2023 | 18.38 Mn |
| Jun 30, 2023 | 18.87 Mn |
| Mar 31, 2023 | 18.23 Mn |
| Dec 31, 2022 | 18.10 Mn |
| Sep 30, 2022 | 18.45 Mn |
| Jun 30, 2022 | 18.86 Mn |
| Mar 31, 2022 | 19.95 Mn |
| Dec 31, 2021 | 15.44 Mn |
| Sep 30, 2021 | 15.63 Mn |
Rimini Street 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=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RMNI", "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=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();