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 | 42.66 Bn | 42.72 Bn | 1.60 Bn | 1.21 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.02 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 624.64 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 503.70 Mn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 591.24 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 412.93 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 253.61 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 285.25 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 184.32 Mn |
| 10 | Rimini Street | 392.94 Mn | -91.38 Mn | 67.70 Mn | 7.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.38 Mn |
| Mar 31, 2026 | 5.80 Mn |
| Dec 31, 2025 | 5.99 Mn |
| Sep 30, 2025 | 5.44 Mn |
| Jun 30, 2025 | 42.06 Mn |
| Mar 31, 2025 | 10.29 Mn |
| Dec 31, 2024 | 15.82 Mn |
| Sep 30, 2024 | -48.68 Mn |
| Jun 30, 2024 | 85,000.00 |
| Mar 31, 2024 | 4.24 Mn |
| Dec 31, 2023 | 12.37 Mn |
| Sep 30, 2023 | 11.99 Mn |
| Jun 30, 2023 | 10.93 Mn |
| Mar 31, 2023 | 11.30 Mn |
| Dec 31, 2022 | -4.94 Mn |
| Sep 30, 2022 | 2.68 Mn |
| Jun 30, 2022 | 6.33 Mn |
| Mar 31, 2022 | 6.52 Mn |
| Dec 31, 2021 | 13.38 Mn |
| Sep 30, 2021 | 8.13 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();