LiveRamp Holdings (RAMP) Return on Sales [ROS] (2009 - 2026)
LiveRamp Holdings (RAMP) reported Return on Sales [ROS] of 9.42% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.72 percentage points from 3.71% a year earlier and up 2.00 percentage points from the prior quarter.
LiveRamp Holdings (RAMP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LiveRamp Holdings' Return on Sales [ROS] came in at 11.59%, up 9.25 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 10.27%, up 9.54 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of +37.48 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 0.72% in FY2025 (-1.00 pp), 1.73% in FY2024 (+22.82 pp), -21.09% in FY2023 (-8.69 pp) and -12.40% in FY2022 (+14.81 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -31.71% in fiscal Q4 2023 and a high of 18.63% in fiscal Q3 2026.
- Year over year, Return on Sales [ROS] has now increased in each of the last six quarters, with an average year-over-year change of +5.45 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2024 (a gain of 24.93 percentage points); the low point was fiscal Q2 2023 (a drop of 14.94 percentage points).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 7.42% (Q4 2026), 18.63% (Q3 2026) and 10.72% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | LiveRamp Holdings | 2.29 Bn | 751.74 Mn | 150.94 Mn | 9.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.42% |
| Mar 31, 2026 | 7.42% |
| Dec 31, 2025 | 18.63% |
| Sep 30, 2025 | 10.72% |
| Jun 30, 2025 | 3.71% |
| Mar 31, 2025 | -6.10% |
| Dec 31, 2024 | 7.51% |
| Sep 30, 2024 | 4.04% |
| Jun 30, 2024 | -2.98% |
| Mar 31, 2024 | -8.31% |
| Dec 31, 2023 | 8.74% |
| Sep 30, 2023 | 5.13% |
| Jun 30, 2023 | 1.47% |
| Mar 31, 2023 | -31.71% |
| Dec 31, 2022 | -15.10% |
| Sep 30, 2022 | -19.80% |
| Jun 30, 2022 | -18.00% |
| Mar 31, 2022 | -19.73% |
| Dec 31, 2021 | -9.80% |
| Sep 30, 2021 | -4.86% |
LiveRamp Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RAMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();