Rimini Street (RMNI) Other Accumulated Expenses (2016 - 2026)
Rimini Street (RMNI) posted Other Accumulated Expenses of $23.47 million for Q2 2026, up 25.6% from $18.69 million a year earlier and unchanged from the prior quarter.
Rimini Street (RMNI) Other Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Rimini Street's Other Accumulated Expenses came in at $24.31 million, up 17.5% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In prior years, Rimini Street's Other Accumulated Expenses was $20.69 million in FY2024 (+14.1%), $18.13 million in FY2023 (-44.5%), $32.68 million in FY2022 (+25.1%) and $26.12 million in FY2021 (+23.5%).
- Quarterly Other Accumulated Expenses has run from a low of $17.12 million in Q3 2021 to a high of $74.28 million in Q3 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last three quarters, with growth averaging 29.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2024, with growth of 227.0%; the weakest was Q3 2025, with a decline of 74.2%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $23.48 million (Q1 2026), $24.31 million (Q4 2025) and $19.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn |
| 10 | Rimini Street | 395.74 Mn | -88.58 Mn | 67.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.47 Mn |
| Mar 31, 2026 | 23.48 Mn |
| Dec 31, 2025 | 24.31 Mn |
| Sep 30, 2025 | 19.16 Mn |
| Jun 30, 2025 | 18.69 Mn |
| Mar 31, 2025 | 20.52 Mn |
| Dec 31, 2024 | 20.69 Mn |
| Sep 30, 2024 | 74.28 Mn |
| Jun 30, 2024 | 18.56 Mn |
| Mar 31, 2024 | 17.96 Mn |
| Dec 31, 2023 | 18.13 Mn |
| Sep 30, 2023 | 22.72 Mn |
| Jun 30, 2023 | 21.67 Mn |
| Mar 31, 2023 | 25.57 Mn |
| Dec 31, 2022 | 32.68 Mn |
| Sep 30, 2022 | 23.89 Mn |
| Jun 30, 2022 | 23.92 Mn |
| Mar 31, 2022 | 22.45 Mn |
| Dec 31, 2021 | 26.12 Mn |
| Sep 30, 2021 | 17.12 Mn |
Rimini Street Other Accumulated Expenses 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=other-accumulated-expenses&ticker=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();