Rimini Street (RMNI) Total Current Liabilities (2015 - 2026)
Rimini Street (RMNI) reported Total Current Liabilities of $312.31 million for Q2 2026, up 1.8% from $306.8 million a year earlier but down 3.7% from the prior quarter.
Rimini Street (RMNI) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Rimini Street posted Total Current Liabilities of $347.4 million, up 7.0% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $324.59 million in FY2024 (-3.5%), $336.43 million in FY2023 (-4.7%), $353.03 million in FY2022 (+7.1%) and $329.5 million in FY2021 (+11.6%).
- Five-year quarterly Total Current Liabilities spans a low of $275.3 million in Q3 2025 and a high of $353.03 million in Q4 2022.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 1.8% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2022 (growth of 14.9%); the low point was Q3 2025 (a decline of 14.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $324.39 million (Q1 2026), $347.4 million (Q4 2025) and $275.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.59 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 3.46 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 24.67 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 8.30 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 3.87 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.74 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 7.50 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 14.16 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 804.44 Mn |
| 10 | Rimini Street | 392.94 Mn | -91.38 Mn | 67.70 Mn | 312.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.31 Mn |
| Mar 31, 2026 | 324.39 Mn |
| Dec 31, 2025 | 347.40 Mn |
| Sep 30, 2025 | 275.30 Mn |
| Jun 30, 2025 | 306.80 Mn |
| Mar 31, 2025 | 295.23 Mn |
| Dec 31, 2024 | 324.59 Mn |
| Sep 30, 2024 | 322.47 Mn |
| Jun 30, 2024 | 303.24 Mn |
| Mar 31, 2024 | 292.84 Mn |
| Dec 31, 2023 | 336.43 Mn |
| Sep 30, 2023 | 288.80 Mn |
| Jun 30, 2023 | 329.23 Mn |
| Mar 31, 2023 | 329.62 Mn |
| Dec 31, 2022 | 353.03 Mn |
| Sep 30, 2022 | 288.60 Mn |
| Jun 30, 2022 | 331.09 Mn |
| Mar 31, 2022 | 320.05 Mn |
| Dec 31, 2021 | 329.50 Mn |
| Sep 30, 2021 | 275.99 Mn |
Rimini Street Total 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-current-liabilities&ticker=RMNI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=RMNI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();