Palantir Technologies (PLTR) Research & Development (2019 - 2026)
Palantir Technologies' Research & Development was $192.51 million in Q2 2026, up 42.6% from $135.04 million a year earlier and up 19.6% from the prior quarter.
Palantir Technologies (PLTR) Research & Development (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Palantir Technologies' Research & Development was $641.24 million through Jun 30, 2026, up 14.7% year-over-year; for FY2025, it was $557.68 million, up 9.8% from FY2024.
- Research & Development has now increased for three consecutive years, though with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Research & Development was $507.88 million in FY2024 (+25.5%), $404.62 million in FY2023 (+12.5%), $359.68 million in FY2022 (-7.2%) and $387.49 million in FY2021 (-30.9%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q3 2020.
- Compared with a year earlier, Research & Development was higher in seven of the last eight quarters, with growth averaging 22.9%.
- The best year-over-year quarter for Research & Development over five years was Q4 2024 (growth of 56.9%); the worst was Q3 2021 (a decline of 70.0%).
- Per Business Quant data, PLTR's Research & Development in the three quarters before Q2 2026 was $160.98 million (Q1 2026), $143.55 million (Q4 2025) and $144.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 2.40 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.51 Mn |
| Mar 31, 2026 | 160.98 Mn |
| Dec 31, 2025 | 143.55 Mn |
| Sep 30, 2025 | 144.19 Mn |
| Jun 30, 2025 | 135.04 Mn |
| Mar 31, 2025 | 134.89 Mn |
| Dec 31, 2024 | 171.50 Mn |
| Sep 30, 2024 | 117.56 Mn |
| Jun 30, 2024 | 108.78 Mn |
| Mar 31, 2024 | 110.04 Mn |
| Dec 31, 2023 | 109.28 Mn |
| Sep 30, 2023 | 105.71 Mn |
| Jun 30, 2023 | 99.53 Mn |
| Mar 31, 2023 | 90.10 Mn |
| Dec 31, 2022 | 82.04 Mn |
| Sep 30, 2022 | 100.86 Mn |
| Jun 30, 2022 | 88.17 Mn |
| Mar 31, 2022 | 88.60 Mn |
| Dec 31, 2021 | 84.18 Mn |
| Sep 30, 2021 | 94.32 Mn |
Palantir Technologies Research & Development 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=research-and-development&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();