Rimini Street (RMNI) EBITDA (2017 - 2026)
Rimini Street (RMNI) posted EBITDA of $7.38 million for Q2 2026, down 82.5% from $42.06 million a year earlier but up 27.3% from the prior quarter.
Powered by 
Analysis
Rimini Street (RMNI) EBITDA (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Rimini Street was $24.6 million, up 26.2% year-over-year; for FY2025, it came in at $63.77 million.
- Annual EBITDA shows a five-year compound annual growth rate of 26.5% (FY2020 to FY2025).
- In prior years, Rimini Street's EBITDA was -$28.53 million in FY2024, $46.59 million in FY2023 (+339.8%), $10.59 million in FY2022 (-63.7%) and $29.18 million in FY2021 (+48.1%).
- Quarterly EBITDA has run from a low of -$48.68 million in Q3 2024 to a high of $42.06 million in Q2 2025 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last three quarters, with an average decline of 3.5% over the last five quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2023, with growth of 346.8%; the weakest was Q2 2024, with a decline of 99.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $5.8 million (Q1 2026), $5.99 million (Q4 2025) and $5.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 13.55 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 515.72 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 749.12 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 591.24 Mn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 412.93 Mn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 268.27 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Rimini Street | 384.27 Mn | -100.06 Mn | 67.70 Mn | 7.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.54 Mn |
| Mar 31, 2026 | 5.96 Mn |
| Dec 31, 2025 | 6.15 Mn |
| Sep 30, 2025 | 5.60 Mn |
| Jun 30, 2025 | 42.22 Mn |
| Mar 31, 2025 | 10.45 Mn |
| Dec 31, 2024 | 15.99 Mn |
| Sep 30, 2024 | -48.51 Mn |
| Jun 30, 2024 | 276,000.00 |
| Mar 31, 2024 | 4.48 Mn |
| Dec 31, 2023 | 12.62 Mn |
| Sep 30, 2023 | 12.24 Mn |
| Jun 30, 2023 | 11.17 Mn |
| Mar 31, 2023 | 11.54 Mn |
| Dec 31, 2022 | -4.70 Mn |
| Sep 30, 2022 | 2.93 Mn |
| Jun 30, 2022 | 6.58 Mn |
| Mar 31, 2022 | 6.76 Mn |
| Dec 31, 2021 | 13.62 Mn |
| Sep 30, 2021 | 8.32 Mn |
API Access
Rimini Street EBITDA 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=ebitda&ticker=RMNI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();