Rimini Street (RMNI) Restructuring Costs (2022 - 2026)
Rimini Street (RMNI) reported Restructuring Costs of $166,000 for Q2 2026, down 77.0% from $722,000 a year earlier and down 59.2% from the prior quarter.
Rimini Street (RMNI) Restructuring Costs (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rimini Street's Restructuring Costs came in at $3.88 million, up 4.5% year-over-year; for FY2025, it was $4.49 million, down 21.7% from FY2024.
- Restructuring Costs has a three-year compound annual growth rate of 21.2% (FY2022 to FY2025).
- By year, Restructuring Costs came in at $5.74 million in FY2024, $59,000 in FY2023 (-97.7%) and $2.53 million in FY2022.
- The Q2 2026 figure ranks as the lowest quarterly Restructuring Costs since Q1 2023.
- Year over year, Restructuring Costs gained in 1 of the last five quarters, with an average decline of 16.2%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $407,000 (Q1 2026), $2.56 million (Q4 2025) and $752,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn |
| 10 | Rimini Street | 378.69 Mn | -105.63 Mn | 67.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166,000.00 |
| Mar 31, 2026 | 407,000.00 |
| Dec 31, 2025 | 2.56 Mn |
| Sep 30, 2025 | 752,000.00 |
| Jun 30, 2025 | 722,000.00 |
| Mar 31, 2025 | 462,000.00 |
| Dec 31, 2024 | 1.10 Mn |
| Sep 30, 2024 | 1.43 Mn |
| Jun 30, 2024 | 3.21 Mn |
| Mar 31, 2023 | 59,000.00 |
| Dec 31, 2022 | 2.53 Mn |
Rimini Street Restructuring Costs 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=restructuring-costs&ticker=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();