Palantir Technologies (PLTR) Price to Book (2020 - 2026)
Palantir Technologies' (PLTR) quarterly Price to Book came in at 28.36 in Q2 2026, down 47.15% year-over-year from 53.66 in Q2 2025, and down 30.8% quarter-over-quarter from 40.98 in Q1 2026.
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Analysis
Palantir Technologies (PLTR) Price to Book (2020 - 2026) Analysis & Trends
Palantir Technologies (PLTR) has reported Price to Book for 7 consecutive years, with 28.36 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Book fell 47.15% year-over-year to 28.36 in Q2 2026; TTM through Jun 2026 was 28.36, a 47.15% decrease from a year earlier, with the FY2025 full-year figure at 56.76, up 63.48% from the prior year.
- Price to Book was 28.36 for Q2 2026 at Palantir Technologies, down from 40.98 in the prior quarter.
- Over five years, Price to Book peaked at 65.0 in Q3 2025 and troughed at 5.1 in Q4 2022.
- A 5-year average of 23.97 and a median of 13.49 in 2024 frame the typical range for Price to Book.
- Across the five-year window, Price to Book sank 68.35% in 2022 and jumped 291.68% in 2025, its largest moves.
- Over 5 years, Price to Book stood at 5.1 in 2022, then soared by 108.01% to 10.61 in 2023, then surged by 227.3% to 34.72 in 2024, then soared by 63.48% to 56.76 in 2025, then sank by 50.04% to 28.36 in 2026.
- The last three Price to Book figures came in at 28.36 (Q2 2026), 40.98 (Q1 2026), and 56.76 (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 | 28.36 |
| Mar 31, 2026 | 40.98 |
| Dec 31, 2025 | 56.76 |
| Sep 30, 2025 | 65.00 |
| Jun 30, 2025 | 53.66 |
| Mar 31, 2025 | 36.09 |
| Dec 31, 2024 | 34.72 |
| Sep 30, 2024 | 18.39 |
| Jun 30, 2024 | 13.70 |
| Mar 31, 2024 | 13.27 |
| Dec 31, 2023 | 10.61 |
| Sep 30, 2023 | 10.64 |
| Jun 30, 2023 | 10.86 |
| Mar 31, 2023 | 6.38 |
| Dec 31, 2022 | 5.10 |
| Sep 30, 2022 | 7.08 |
| Jun 30, 2022 | 7.97 |
| Mar 31, 2022 | 11.88 |
| Dec 31, 2021 | 16.12 |
| Sep 30, 2021 | 21.29 |
API Access
Palantir Technologies Price to Book 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-book&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();