LiveRamp Holdings (RAMP) Total Liabilities (2010 - 2026)
LiveRamp Holdings (RAMP) reported Total Liabilities of $301.41 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.0% from $284.28 million a year earlier but down 6.5% from the prior quarter.
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Analysis
LiveRamp Holdings (RAMP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), LiveRamp Holdings posted Total Liabilities of $322.2 million, up 3.8% from FY2025.
- Total Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.2% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $310.51 million in FY2025 (+10.0%), $282.31 million in FY2024 (+14.5%), $246.63 million in FY2023 (-8.9%) and $270.68 million in FY2022 (+30.4%).
- Five-year quarterly Total Liabilities spans a low of $209.43 million in fiscal Q2 2022 and a high of $322.2 million in fiscal Q4 2026.
- Year over year, Total Liabilities has now increased in each of the last 13 quarters, with growth averaging 7.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q3 2022 (growth of 35.4%); the low point was fiscal Q4 2023 (a decline of 8.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $322.2 million (Q4 2026), $306.9 million (Q3 2026) and $296.61 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 2.07 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 236.06 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 33.88 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 71.24 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 58.36 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 18.73 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 18.26 Bn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 21.71 Bn |
| 10 | LiveRamp Holdings | 2.34 Bn | 802.20 Mn | 150.94 Mn | 301.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.41 Mn |
| Mar 31, 2026 | 322.20 Mn |
| Dec 31, 2025 | 306.90 Mn |
| Sep 30, 2025 | 296.61 Mn |
| Jun 30, 2025 | 284.28 Mn |
| Mar 31, 2025 | 310.51 Mn |
| Dec 31, 2024 | 295.51 Mn |
| Sep 30, 2024 | 262.83 Mn |
| Jun 30, 2024 | 254.38 Mn |
| Mar 31, 2024 | 282.31 Mn |
| Dec 31, 2023 | 278.25 Mn |
| Sep 30, 2023 | 258.66 Mn |
| Jun 30, 2023 | 245.40 Mn |
| Mar 31, 2023 | 246.63 Mn |
| Dec 31, 2022 | 254.87 Mn |
| Sep 30, 2022 | 228.43 Mn |
| Jun 30, 2022 | 228.51 Mn |
| Mar 31, 2022 | 270.68 Mn |
| Dec 31, 2021 | 272.12 Mn |
| Sep 30, 2021 | 209.43 Mn |
API Access
LiveRamp Holdings 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=RAMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RAMP", "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=RAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();