Rimini Street (RMNI) Cash & Equivalents (2015 - 2026)
Rimini Street (RMNI) posted Cash & Equivalents of $123.44 million for Q2 2026, up 21.9% from $101.28 million a year earlier but down 6.6% from the prior quarter.
Rimini Street (RMNI) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Rimini Street's Cash & Equivalents came in at $119.97 million, up 35.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Rimini Street's Cash & Equivalents was $88.79 million in FY2024 (-23.1%), $115.42 million in FY2023 (+5.9%), $109.01 million in FY2022 (-8.8%) and $119.57 million in FY2021 (+36.5%).
- Quarterly Cash & Equivalents has run from a low of $88.79 million in Q4 2024 to a high of $160.22 million in Q2 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 1.7% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2022, with growth of 45.1%; the weakest was Q1 2023, with a decline of 26.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $132.19 million (Q1 2026), $119.97 million (Q4 2025) and $108.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Rimini Street | 395.74 Mn | -88.58 Mn | 67.70 Mn | 123.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.44 Mn |
| Mar 31, 2026 | 132.19 Mn |
| Dec 31, 2025 | 119.97 Mn |
| Sep 30, 2025 | 108.72 Mn |
| Jun 30, 2025 | 101.28 Mn |
| Mar 31, 2025 | 122.57 Mn |
| Dec 31, 2024 | 88.79 Mn |
| Sep 30, 2024 | 119.49 Mn |
| Jun 30, 2024 | 134.20 Mn |
| Mar 31, 2024 | 129.01 Mn |
| Dec 31, 2023 | 115.42 Mn |
| Sep 30, 2023 | 108.23 Mn |
| Jun 30, 2023 | 123.54 Mn |
| Mar 31, 2023 | 116.17 Mn |
| Dec 31, 2022 | 109.01 Mn |
| Sep 30, 2022 | 118.58 Mn |
| Jun 30, 2022 | 160.22 Mn |
| Mar 31, 2022 | 158.05 Mn |
| Dec 31, 2021 | 119.57 Mn |
| Sep 30, 2021 | 103.02 Mn |
Rimini Street Cash & Equivalents 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=cash-and-equivalents&ticker=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();