Palantir Technologies (PLTR) Price to Sales (2020 - 2026)
Palantir Technologies' (PLTR) quarterly Price to Sales came in at 144.85 in Q2 2026, down 55.04% year-over-year from 322.14 in Q2 2025, and down 32.56% quarter-over-quarter from 214.78 in Q1 2026.
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Analysis
Palantir Technologies (PLTR) Price to Sales (2020 - 2026) Analysis & Trends
Palantir Technologies (PLTR) has reported Price to Sales for 7 consecutive years, with 144.85 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Sales fell 55.04% year-over-year to 144.85 in Q2 2026; TTM through Jun 2026 was 45.54, a 51.54% decrease from a year earlier, with the FY2025 full-year figure at 94.97, up 53.85% from the prior year.
- Price to Sales was 144.85 for Q2 2026 at Palantir Technologies, down from 214.78 in the prior quarter.
- Over five years, Price to Sales peaked at 368.1 in Q3 2025 and troughed at 26.5 in Q4 2022.
- A 5-year average of 136.47 and a median of 82.19 in 2024 frame the typical range for Price to Sales.
- Across the five-year window, Price to Sales slumped 71.01% in 2022 and surged 285.37% in 2025, its largest moves.
- Over 5 years, Price to Sales stood at 26.5 in 2022, then jumped by 134.37% to 62.1 in 2023, then soared by 244.23% to 213.75 in 2024, then surged by 41.35% to 302.13 in 2025, then slumped by 52.06% to 144.85 in 2026.
- The last three Price to Sales figures came in at 144.85 (Q2 2026), 214.78 (Q1 2026), and 302.13 (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 | 144.85 |
| Mar 31, 2026 | 214.78 |
| Dec 31, 2025 | 302.13 |
| Sep 30, 2025 | 368.10 |
| Jun 30, 2025 | 322.14 |
| Mar 31, 2025 | 225.33 |
| Dec 31, 2024 | 213.75 |
| Sep 30, 2024 | 116.38 |
| Jun 30, 2024 | 83.59 |
| Mar 31, 2024 | 80.78 |
| Dec 31, 2023 | 62.10 |
| Sep 30, 2023 | 62.35 |
| Jun 30, 2023 | 61.80 |
| Mar 31, 2023 | 34.07 |
| Dec 31, 2022 | 26.50 |
| Sep 30, 2022 | 35.38 |
| Jun 30, 2022 | 39.55 |
| Mar 31, 2022 | 62.93 |
| Dec 31, 2021 | 85.29 |
| Sep 30, 2021 | 122.06 |
API Access
Palantir Technologies Price to Sales 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-sales&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();