LiveRamp Holdings (RAMP) Revenue (2009 - 2026)
LiveRamp Holdings (RAMP) recorded Revenue of $213.99 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.8% from $194.82 million a year earlier and up 3.8% from the prior quarter.
LiveRamp Holdings (RAMP) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, LiveRamp Holdings' Revenue came in at $832.1 million as of Jun 30, 2026, up 8.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $812.94 million, up 9.0% from FY2025.
- Annual Revenue has increased for nine straight fiscal years, with a five-year compound annual growth rate of 12.9% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $745.58 million in FY2025 (+13.0%), $659.66 million in FY2024 (+10.6%), $596.58 million in FY2023 (+12.8%) and $528.66 million in FY2022 (+19.3%).
- The fiscal Q1 2027 figure is the highest quarterly Revenue since fiscal Q4 2017.
- On a year-over-year basis, Revenue has increased for 33 consecutive quarters, with growth averaging 10.5% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 4.9% (fiscal Q4 2023) and 21.6% (fiscal Q2 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $206.09 million (Q4 2026), $212.2 million (Q3 2026) and $199.83 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 19.35 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 122.37 Mn |
| 10 | LiveRamp Holdings | 2.29 Bn | 748.70 Mn | 150.94 Mn | 213.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 213.99 Mn |
| Mar 31, 2026 | 206.09 Mn |
| Dec 31, 2025 | 212.20 Mn |
| Sep 30, 2025 | 199.83 Mn |
| Jun 30, 2025 | 194.82 Mn |
| Mar 31, 2025 | 188.72 Mn |
| Dec 31, 2024 | 195.41 Mn |
| Sep 30, 2024 | 185.48 Mn |
| Jun 30, 2024 | 175.96 Mn |
| Mar 31, 2024 | 171.85 Mn |
| Dec 31, 2023 | 173.87 Mn |
| Sep 30, 2023 | 159.87 Mn |
| Jun 30, 2023 | 154.07 Mn |
| Mar 31, 2023 | 148.63 Mn |
| Dec 31, 2022 | 158.62 Mn |
| Sep 30, 2022 | 147.10 Mn |
| Jun 30, 2022 | 142.24 Mn |
| Mar 31, 2022 | 141.73 Mn |
| Dec 31, 2021 | 140.60 Mn |
| Sep 30, 2021 | 127.29 Mn |
LiveRamp Holdings Revenue 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=revenue&ticker=RAMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();