Palantir Technologies (PLTR) EV to EBIT (2023 - 2026)
Palantir Technologies' (PLTR) EV to EBIT was 102.88 for Q2 2026, down 81.5% from 557.33 a year earlier and down 40.2% from the prior quarter.
Palantir Technologies (PLTR) EV to EBIT (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Palantir Technologies' EV to EBIT came in at 94.66, down 82.2% year-over-year; for FY2025, it was 295.58, down 46.6% from FY2024.
- By year, EV to EBIT came in at 553.29 in FY2024 (+94.2%) and 284.98 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly EV to EBIT in data going back to Q3 2023.
- Year over year, EV to EBIT has now declined in each of the last three quarters, with growth averaging 33.0% over the last eight quarters.
- The high point for year-over-year EV to EBIT in five years was Q2 2025 (growth of 208.4%); the low point was Q2 2026 (a decline of 81.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 172.06 (Q1 2026), 295.58 (Q4 2025) and 504.23 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.88 |
| Mar 31, 2026 | 172.06 |
| Dec 31, 2025 | 295.58 |
| Sep 30, 2025 | 504.23 |
| Jun 30, 2025 | 557.33 |
| Mar 31, 2025 | 477.89 |
| Dec 31, 2024 | 553.29 |
| Sep 30, 2024 | 218.99 |
| Jun 30, 2024 | 180.74 |
| Mar 31, 2024 | 241.24 |
| Dec 31, 2023 | 284.98 |
| Sep 30, 2023 | 869.48 |
Palantir Technologies EV to EBIT 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=ev-to-ebit&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "ticker": "PLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebit&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();