LiveRamp Holdings (RAMP) Depreciation and Depletion (2014 - 2026)
LiveRamp Holdings (RAMP) reported Depreciation and Depletion of $600,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), unchanged from $600,000 a year earlier and unchanged from the prior quarter.
LiveRamp Holdings (RAMP) Depreciation and Depletion (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LiveRamp Holdings' Depreciation and Depletion came in at $2.4 million, down 11.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $2.4 million, down 14.3% from FY2025.
- Depreciation and Depletion has a five-year compound annual growth rate of -23.1% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $2.8 million in FY2025 (+3.7%), $2.7 million in FY2024 (-32.5%), $4 million in FY2023 (-25.9%) and $5.4 million in FY2022 (-39.3%).
- Five-year quarterly Depreciation and Depletion spans a low of $500,000 in fiscal Q3 2026 and a high of $1.2 million in fiscal Q4 2022.
- Year over year, Depreciation and Depletion gained in two of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q3 2025 (growth of 16.7%); the low point was fiscal Q2 2022 (a decline of 47.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $600,000 (Q4 2026), $500,000 (Q3 2026) and $700,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 3.20 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | - |
| 10 | LiveRamp Holdings | 2.29 Bn | 751.74 Mn | 150.94 Mn | 600,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 600,000.00 |
| Mar 31, 2026 | 600,000.00 |
| Dec 31, 2025 | 500,000.00 |
| Sep 30, 2025 | 700,000.00 |
| Jun 30, 2025 | 600,000.00 |
| Mar 31, 2025 | 700,000.00 |
| Dec 31, 2024 | 700,000.00 |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | 700,000.00 |
| Mar 31, 2024 | 700,000.00 |
| Dec 31, 2023 | 600,000.00 |
| Sep 30, 2023 | 600,000.00 |
| Jun 30, 2023 | 800,000.00 |
| Mar 31, 2023 | 900,000.00 |
| Dec 31, 2022 | 900,000.00 |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 1.20 Mn |
| Sep 30, 2021 | 1.20 Mn |
LiveRamp Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=RAMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=RAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();