Palantir Technologies (PLTR) Revenue (2019 - 2026)
Palantir Technologies' Revenue was $1.94 billion in Q2 2026, up 92.8% from $1 billion a year earlier and up 18.6% from the prior quarter.
Palantir Technologies (PLTR) Revenue (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Palantir Technologies' Revenue was $6.16 billion through Jun 30, 2026, up 78.9% year-over-year; for FY2025, it came in at $4.48 billion, up 56.2% from FY2024.
- Revenue has now increased for seven consecutive years, with a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- In earlier years, Revenue was $2.87 billion in FY2024 (+28.8%), $2.23 billion in FY2023 (+16.7%), $1.91 billion in FY2022 (+23.6%) and $1.54 billion in FY2021 (+41.1%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q3 2019.
- Compared with a year earlier, Revenue has increased for 24 straight quarters, with growth averaging 58.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 12.7% in Q2 2023 to 92.8% in Q2 2026.
- Per Business Quant data, PLTR's Revenue in the three quarters before Q2 2026 was $1.63 billion (Q1 2026), $1.41 billion (Q4 2025) and $1.18 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 455.76 Bn | 424.82 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 414.53 Bn | 287.08 Bn | - | 19.35 Bn |
| 3 | Sap Se | 258.85 Bn | 179.93 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 192.62 Bn | 148.50 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 140.24 Bn | 118.70 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 87.01 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 74.02 Bn | 53.37 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.96 Bn | 57.93 Bn | - | - |
| 9 | Strategy | 55.82 Bn | 48.81 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Workday | 45.69 Bn | 21.82 Bn | 2.00 Bn | 2.65 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.94 Bn |
| Mar 31, 2026 | 1.63 Bn |
| Dec 31, 2025 | 1.41 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.00 Bn |
| Mar 31, 2025 | 883.86 Mn |
| Dec 31, 2024 | 827.52 Mn |
| Sep 30, 2024 | 725.52 Mn |
| Jun 30, 2024 | 678.13 Mn |
| Mar 31, 2024 | 634.34 Mn |
| Dec 31, 2023 | 608.35 Mn |
| Sep 30, 2023 | 558.16 Mn |
| Jun 30, 2023 | 533.32 Mn |
| Mar 31, 2023 | 525.19 Mn |
| Dec 31, 2022 | 508.62 Mn |
| Sep 30, 2022 | 477.88 Mn |
| Jun 30, 2022 | 473.01 Mn |
| Mar 31, 2022 | 446.36 Mn |
| Dec 31, 2021 | 432.87 Mn |
| Sep 30, 2021 | 392.15 Mn |
Palantir Technologies Revenue 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=revenue&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();