Rimini Street (RMNI) Property, Plant & Equipment (Net) (2016 - 2026)
Rimini Street's Property, Plant & Equipment (Net) came in at $9.62 million for Q2 2026, down 11.6% from $10.87 million a year earlier and down 2.7% from the prior quarter.
Rimini Street (RMNI) Property, Plant & Equipment (Net) (2016 - 2026) Analysis & Trends
At the end of FY2025, Rimini Street's Property, Plant & Equipment (Net) was $10.24 million, up 3.5% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $9.89 million in FY2024 (-5.8%), $10.5 million in FY2023 (+71.7%), $6.11 million in FY2022 (+37.8%) and $4.44 million in FY2021 (-8.0%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- Year-over-year, Property, Plant & Equipment (Net) increased in five of the last eight quarters, with growth averaging 0.8%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2023 (growth of 71.7%), and the weakest in Q2 2026 (a decline of 11.6%).
- Business Quant data shows RMNI's Property, Plant & Equipment (Net) at $9.88 million (Q1 2026), $10.24 million (Q4 2025) and $10.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 1.42 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 565.11 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 166.00 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 260.87 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 460.82 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 644.60 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 527.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 204.97 Mn |
| 10 | Rimini Street | 395.74 Mn | -88.58 Mn | 67.70 Mn | 9.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.62 Mn |
| Mar 31, 2026 | 9.88 Mn |
| Dec 31, 2025 | 10.24 Mn |
| Sep 30, 2025 | 10.70 Mn |
| Jun 30, 2025 | 10.87 Mn |
| Mar 31, 2025 | 9.59 Mn |
| Dec 31, 2024 | 9.89 Mn |
| Sep 30, 2024 | 10.43 Mn |
| Jun 30, 2024 | 10.67 Mn |
| Mar 31, 2024 | 10.71 Mn |
| Dec 31, 2023 | 10.50 Mn |
| Sep 30, 2023 | 8.49 Mn |
| Jun 30, 2023 | 7.13 Mn |
| Mar 31, 2023 | 6.55 Mn |
| Dec 31, 2022 | 6.11 Mn |
| Sep 30, 2022 | 5.57 Mn |
| Jun 30, 2022 | 4.92 Mn |
| Mar 31, 2022 | 4.52 Mn |
| Dec 31, 2021 | 4.44 Mn |
| Sep 30, 2021 | 4.55 Mn |
Rimini Street Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();