Palantir Technologies (PLTR) Exchange Rate Effect (2019 - 2026)
Palantir Technologies' Exchange Rate Effect came in at $292,000 for Q2 2026, down 96.1% from $7.54 million a year earlier.
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Analysis
Palantir Technologies (PLTR) Exchange Rate Effect (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Palantir Technologies reported Exchange Rate Effect of -$6.15 million; for FY2025, it was $7.48 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$6.75 million in FY2024, $2.93 million in FY2023, -$3.89 million in FY2022 and -$3.92 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$7.71 million (Q4 2024) to $8.59 million (Q4 2022).
- Business Quant data shows PLTR's Exchange Rate Effect at -$2.4 million (Q1 2026), -$1.97 million (Q4 2025) and -$2.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 11.00 Mn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | -11.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -518,000.00 |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 292,000.00 |
| Mar 31, 2026 | -2.40 Mn |
| Dec 31, 2025 | -1.97 Mn |
| Sep 30, 2025 | -2.07 Mn |
| Jun 30, 2025 | 7.54 Mn |
| Mar 31, 2025 | 3.98 Mn |
| Dec 31, 2024 | -7.71 Mn |
| Sep 30, 2024 | 5.91 Mn |
| Jun 30, 2024 | -924,000.00 |
| Mar 31, 2024 | -4.02 Mn |
| Dec 31, 2023 | 5.04 Mn |
| Sep 30, 2023 | -258,000.00 |
| Jun 30, 2023 | -4.53 Mn |
| Mar 31, 2023 | 2.68 Mn |
| Dec 31, 2022 | 8.59 Mn |
| Sep 30, 2022 | -6.13 Mn |
| Jun 30, 2022 | -5.61 Mn |
| Mar 31, 2022 | -727,000.00 |
| Dec 31, 2021 | -280,000.00 |
| Sep 30, 2021 | -2.14 Mn |
API Access
Palantir Technologies Exchange Rate Effect 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=exchange-rate-effect&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();