Rimini Street (RMNI) Total Liabilities (2015 - 2026)
Rimini Street's Total Liabilities came in at $400.92 million for Q2 2026, down 6.0% from $426.53 million a year earlier and down 4.5% from the prior quarter.
Rimini Street (RMNI) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Rimini Street's Total Liabilities was $450.14 million, up 2.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $438.51 million in FY2024 (+1.2%), $433.29 million in FY2023 (-7.5%), $468.21 million in FY2022 (-0.7%) and $471.65 million in FY2021 (-2.3%).
- The five-year range for quarterly Total Liabilities is $380.14 million (Q3 2025) to $471.65 million (Q4 2021).
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 8.4%), and the weakest in Q1 2024 (a decline of 11.6%).
- Business Quant data shows RMNI's Total Liabilities at $419.67 million (Q1 2026), $450.14 million (Q4 2025) and $380.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Rimini Street | 392.94 Mn | -91.38 Mn | 67.70 Mn | 400.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 400.92 Mn |
| Mar 31, 2026 | 419.67 Mn |
| Dec 31, 2025 | 450.14 Mn |
| Sep 30, 2025 | 380.14 Mn |
| Jun 30, 2025 | 426.53 Mn |
| Mar 31, 2025 | 406.73 Mn |
| Dec 31, 2024 | 438.51 Mn |
| Sep 30, 2024 | 420.62 Mn |
| Jun 30, 2024 | 403.49 Mn |
| Mar 31, 2024 | 387.51 Mn |
| Dec 31, 2023 | 433.29 Mn |
| Sep 30, 2023 | 388.03 Mn |
| Jun 30, 2023 | 432.92 Mn |
| Mar 31, 2023 | 438.22 Mn |
| Dec 31, 2022 | 468.21 Mn |
| Sep 30, 2022 | 408.72 Mn |
| Jun 30, 2022 | 462.70 Mn |
| Mar 31, 2022 | 465.10 Mn |
| Dec 31, 2021 | 471.65 Mn |
| Sep 30, 2021 | 416.89 Mn |
Rimini Street Total Liabilities 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=total-liabilities&ticker=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();