Palantir Technologies (PLTR) Price to Earnings (2020 - 2026)
Palantir Technologies' (PLTR) quarterly Price to Earnings came in at 263.0 in Q2 2026, down 73.27% year-over-year from 984.05 in Q2 2025, and down 34.27% quarter-over-quarter from 400.1 in Q1 2026.
Powered by 
Analysis
Palantir Technologies (PLTR) Price to Earnings (2020 - 2026) Analysis & Trends
Palantir Technologies (PLTR) has reported Price to Earnings for 7 consecutive years, with 263.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 73.27% year-over-year to 263.0 in Q2 2026; TTM through Jun 2026 was 92.5, a 77.9% decrease from a year earlier, with the FY2025 full-year figure at 260.02, down 31.22% from the prior year.
- Price to Earnings was 263.0 for Q2 2026 at Palantir Technologies, down from 400.1 in the prior quarter.
- Over five years, Price to Earnings peaked at 2299.03 in Q4 2024 and troughed at 277.08 in Q1 2022.
- A 5-year average of 600.13 and a median of 478.61 in 2023 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings soared 1234.72% in 2023 and sank 73.27% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 402.8 in 2022, then dropped by 3.25% to 389.72 in 2023, then surged by 489.92% to 2299.03 in 2024, then sank by 69.77% to 694.95 in 2025, then tumbled by 62.16% to 263.0 in 2026.
- The last three Price to Earnings figures came in at 263.0 (Q2 2026), 400.1 (Q1 2026), and 694.95 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 263.00 |
| Mar 31, 2026 | 400.10 |
| Dec 31, 2025 | 694.95 |
| Sep 30, 2025 | 912.03 |
| Jun 30, 2025 | 984.05 |
| Mar 31, 2025 | 914.75 |
| Dec 31, 2024 | 2,299.03 |
| Sep 30, 2024 | 565.40 |
| Jun 30, 2024 | 418.17 |
| Mar 31, 2024 | 483.30 |
| Dec 31, 2023 | 389.72 |
| Sep 30, 2023 | 473.92 |
| Jun 30, 2023 | 1,183.75 |
| Mar 31, 2023 | 935.33 |
| Dec 31, 2022 | 402.80 |
| Sep 30, 2022 | -136.49 |
| Jun 30, 2022 | -104.32 |
| Mar 31, 2022 | -277.08 |
| Dec 31, 2021 | -236.36 |
| Sep 30, 2021 | -468.65 |
API Access
Palantir Technologies Price to Earnings 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=price-to-earnings&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();