LiveRamp Holdings (RAMP) Operating Expenses (2009 - 2026)
LiveRamp Holdings (RAMP) recorded Operating Expenses of $130.78 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.2% from $129.28 million a year earlier and up 0.4% from the prior quarter.
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Analysis
LiveRamp Holdings (RAMP) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, LiveRamp Holdings' Operating Expenses came in at $492.86 million as of Jun 30, 2026, down 6.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $491.36 million, down 6.3% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $524.27 million in FY2025 (+11.8%), $468.77 million in FY2024 (-15.1%), $552.3 million in FY2023 (+23.6%) and $446.77 million in FY2022 (+6.5%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses since fiscal Q4 2025.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 0.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 36.1% in fiscal Q2 2023, against a decline of 18.3% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $130.25 million (Q4 2026), $113.02 million (Q3 2026) and $118.81 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | LiveRamp Holdings | 2.29 Bn | 748.70 Mn | 150.94 Mn | 130.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.78 Mn |
| Mar 31, 2026 | 130.25 Mn |
| Dec 31, 2025 | 113.02 Mn |
| Sep 30, 2025 | 118.81 Mn |
| Jun 30, 2025 | 129.28 Mn |
| Mar 31, 2025 | 142.30 Mn |
| Dec 31, 2024 | 125.74 Mn |
| Sep 30, 2024 | 126.76 Mn |
| Jun 30, 2024 | 129.46 Mn |
| Mar 31, 2024 | 138.41 Mn |
| Dec 31, 2023 | 113.73 Mn |
| Sep 30, 2023 | 110.45 Mn |
| Jun 30, 2023 | 106.18 Mn |
| Mar 31, 2023 | 152.28 Mn |
| Dec 31, 2022 | 139.28 Mn |
| Sep 30, 2022 | 133.92 Mn |
| Jun 30, 2022 | 126.82 Mn |
| Mar 31, 2022 | 130.22 Mn |
| Dec 31, 2021 | 115.83 Mn |
| Sep 30, 2021 | 98.39 Mn |
API Access
LiveRamp Holdings Operating Expenses 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=operating-expenses&ticker=RAMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();