Palantir Technologies (PLTR) Income After Tax (2019 - 2026)
Palantir Technologies (PLTR) posted Income After Tax of $1.13 billion for Q3 2026, up 138.0% from $476.75 million a year earlier and up 6.4% from the prior quarter.
Palantir Technologies (PLTR) Income After Tax (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Income After Tax at Palantir Technologies was $3.69 billion, up 235.3% year-over-year; for FY2025, it came in at $1.63 billion, up 249.4% from FY2024.
- In prior years, Palantir Technologies' Income After Tax was $467.87 million in FY2024 (+115.2%), $217.38 million in FY2023, -$371.13 million in FY2022 and -$520.39 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Income After Tax in data going back to Q3 2019.
- On a year-over-year basis, Income After Tax has increased in each of the last seven quarters, with growth averaging 225.8% over the last eight quarters.
- The strongest year-over-year quarter for Income After Tax in the past five years was Q4 2025, with growth of 694.9%; the weakest was Q4 2024, with a decline of 20.6%.
- According to Business Quant data, Income After Tax for the three prior quarters was $1.07 billion (Q2 2026), $876.4 million (Q1 2026) and $611.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.03 Bn | 372.86 Bn | 1.93 Bn | 1.13 Bn |
| 2 | Oracle | 353.67 Bn | 225.80 Bn | - | 4.76 Bn |
| 3 | Sap Se | 277.76 Bn | 205.16 Bn | 8.64 Bn | 4.30 Bn |
| 4 | Salesforce | 177.43 Bn | 133.30 Bn | 8.70 Bn | 3.53 Bn |
| 5 | Automatic Data Processing | 121.44 Bn | 108.23 Bn | 2.53 Bn | 1.13 Bn |
| 6 | ServiceNow | 108.00 Bn | 87.26 Bn | 2.90 Bn | 277.00 Mn |
| 7 | Intuit | 93.74 Bn | 73.09 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 73.24 Bn | 72.33 Bn | - | - |
| 9 | Strategy | 50.36 Bn | 37.50 Bn | 89.63 Mn | 19.53 Bn |
| 10 | Thomson Reuters | 49.25 Bn | 45.22 Bn | - | 353.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.13 Bn |
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 876.40 Mn |
| Dec 31, 2025 | 611.61 Mn |
| Sep 30, 2025 | 476.70 Mn |
| Jun 30, 2025 | 328.57 Mn |
| Mar 31, 2025 | 217.72 Mn |
| Dec 31, 2024 | 76.94 Mn |
| Sep 30, 2024 | 149.34 Mn |
| Jun 30, 2024 | 135.56 Mn |
| Mar 31, 2024 | 106.03 Mn |
| Dec 31, 2023 | 96.93 Mn |
| Sep 30, 2023 | 73.44 Mn |
| Jun 30, 2023 | 27.84 Mn |
| Mar 31, 2023 | 19.13 Mn |
| Dec 31, 2022 | 33.46 Mn |
| Sep 30, 2022 | -123.88 Mn |
| Jun 30, 2022 | -179.34 Mn |
| Mar 31, 2022 | -101.38 Mn |
| Dec 31, 2021 | -156.20 Mn |
Palantir Technologies Income After Tax 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=profit-after-tax&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();