Rimini Street (RMNI) Total Non-Current Liabilities (2015 - 2026)
Rimini Street (RMNI) reported Total Non-Current Liabilities of $399.56 million for Q2 2026, down 5.9% from $424.56 million a year earlier and down 4.4% from the prior quarter.
Rimini Street (RMNI) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Rimini Street posted Total Non-Current Liabilities of $448.22 million, up 2.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $437.06 million in FY2024 (+1.3%), $431.36 million in FY2023 (-7.5%), $466.21 million in FY2022 (-0.5%) and $468.72 million in FY2021 (-2.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $378.17 million in Q3 2025 and a high of $468.72 million in Q4 2021.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 1.3%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2024 (growth of 8.3%); the low point was Q1 2024 (a decline of 11.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $418.1 million (Q1 2026), $448.22 million (Q4 2025) and $378.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 29.07 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 8.68 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 30.80 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 10.19 Bn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 17.06 Bn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Rimini Street | 397.61 Mn | -86.71 Mn | 67.70 Mn | 399.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399.56 Mn |
| Mar 31, 2026 | 418.10 Mn |
| Dec 31, 2025 | 448.22 Mn |
| Sep 30, 2025 | 378.17 Mn |
| Jun 30, 2025 | 424.56 Mn |
| Mar 31, 2025 | 405.10 Mn |
| Dec 31, 2024 | 437.06 Mn |
| Sep 30, 2024 | 418.27 Mn |
| Jun 30, 2024 | 401.84 Mn |
| Mar 31, 2024 | 385.75 Mn |
| Dec 31, 2023 | 431.36 Mn |
| Sep 30, 2023 | 386.31 Mn |
| Jun 30, 2023 | 431.10 Mn |
| Mar 31, 2023 | 436.33 Mn |
| Dec 31, 2022 | 466.21 Mn |
| Sep 30, 2022 | 406.15 Mn |
| Jun 30, 2022 | 459.84 Mn |
| Mar 31, 2022 | 462.24 Mn |
| Dec 31, 2021 | 468.72 Mn |
| Sep 30, 2021 | 415.14 Mn |
Rimini Street Total Non-Current 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-non-current-liabilities&ticker=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();