Palantir Technologies (PLTR) Tax Provisions (2019 - 2026)
Palantir Technologies (PLTR) posted Tax Provisions of $15.38 million for Q2 2026, up 327.8% from $3.6 million a year earlier and up 26.1% from the prior quarter.
Palantir Technologies (PLTR) Tax Provisions (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Palantir Technologies was $41.16 million, up 99.8% year-over-year; for FY2025, it was $22.72 million, up 6.7% from FY2024.
- Annual Tax Provisions has increased for three consecutive years.
- In prior years, Palantir Technologies' Tax Provisions was $21.3 million in FY2024 (+8.0%), $19.72 million in FY2023 (+95.2%), $10.1 million in FY2022 (-68.3%) and $31.9 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2021.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 64.0% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2023, with growth of 493.6%; the weakest was Q4 2022, with a decline of 86.7%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $12.2 million (Q1 2026), $9.78 million (Q4 2025) and $3.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 13.56 Mn |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 847.00 Mn |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | -844.41 Mn |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 1.03 Bn |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 329.70 Mn |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 93.00 Mn |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | 1.41 Bn |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | -59.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.56 Mn |
| Jun 30, 2026 | 15.38 Mn |
| Mar 31, 2026 | 12.20 Mn |
| Dec 31, 2025 | 9.78 Mn |
| Sep 30, 2025 | 3.80 Mn |
| Jun 30, 2025 | 3.60 Mn |
| Mar 31, 2025 | 5.60 Mn |
| Dec 31, 2024 | 3.60 Mn |
| Sep 30, 2024 | 7.81 Mn |
| Jun 30, 2024 | 5.20 Mn |
| Mar 31, 2024 | 4.70 Mn |
| Dec 31, 2023 | 9.32 Mn |
| Sep 30, 2023 | 6.53 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 4.39 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 2.60 Mn |
| Mar 31, 2022 | 2.02 Mn |
| Dec 31, 2021 | 33.02 Mn |
Palantir Technologies Tax Provisions 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=tax-provisions&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();