Palantir Technologies (PLTR) EBITDA (2019 - 2026)
Palantir Technologies' EBITDA was $920.22 million in Q2 2026, up 233.6% from $275.85 million a year earlier and up 21.0% from the prior quarter.
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Analysis
Palantir Technologies (PLTR) EBITDA (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Palantir Technologies' EBITDA was $2.66 billion through Jun 30, 2026, up 345.4% year-over-year; for FY2025, it was $1.44 billion, up 321.1% from FY2024.
- In earlier years, EBITDA was $341.99 million in FY2024 (+123.1%), $153.32 million in FY2023, -$138.68 million in FY2022 and -$396.15 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2019.
- Compared with a year earlier, EBITDA was higher in six of the last seven quarters, with growth averaging 157.3%.
- The best year-over-year quarter for EBITDA over five years was Q1 2024 (growth of 618.3%); the worst was Q4 2024 (a decline of 75.5%).
- Per Business Quant data, PLTR's EBITDA in the three quarters before Q2 2026 was $760.76 million (Q1 2026), $582.41 million (Q4 2025) and $399.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 388.11 Bn | 352.94 Bn | 1.93 Bn | 1.09 Bn |
| 2 | Oracle | 358.47 Bn | 230.60 Bn | - | 10.13 Bn |
| 3 | Sap Se | 283.77 Bn | 211.17 Bn | 8.64 Bn | 3.75 Bn |
| 4 | Salesforce | 184.64 Bn | 140.51 Bn | 8.70 Bn | 3.89 Bn |
| 5 | Automatic Data Processing | 123.40 Bn | 110.20 Bn | 2.53 Bn | -1.19 Bn |
| 6 | ServiceNow | 110.58 Bn | 89.85 Bn | 2.90 Bn | 954.00 Mn |
| 7 | Intuit | 99.71 Bn | 79.06 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 75.94 Bn | 75.04 Bn | - | - |
| 9 | Strategy | 55.50 Bn | 42.64 Bn | 89.63 Mn | 20.93 Bn |
| 10 | Thomson Reuters | 52.67 Bn | 48.64 Bn | - | 449.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.09 Bn |
| Jun 30, 2026 | 920.22 Mn |
| Mar 31, 2026 | 760.76 Mn |
| Dec 31, 2025 | 582.41 Mn |
| Sep 30, 2025 | 399.23 Mn |
| Jun 30, 2025 | 275.85 Mn |
| Mar 31, 2025 | 182.67 Mn |
| Dec 31, 2024 | 18.05 Mn |
| Sep 30, 2024 | 121.23 Mn |
| Jun 30, 2024 | 113.40 Mn |
| Mar 31, 2024 | 89.32 Mn |
| Dec 31, 2023 | 73.77 Mn |
| Sep 30, 2023 | 48.65 Mn |
| Jun 30, 2023 | 18.47 Mn |
| Mar 31, 2023 | 12.44 Mn |
| Dec 31, 2022 | -10.45 Mn |
| Sep 30, 2022 | -56.25 Mn |
| Jun 30, 2022 | -36.85 Mn |
| Mar 31, 2022 | -35.13 Mn |
| Dec 31, 2021 | -55.10 Mn |
API Access
Palantir Technologies EBITDA 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=ebitda&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();