Palantir Technologies (PLTR) Exchange Rate Effect (2019 - 2026)
Palantir Technologies' (PLTR) quarterly Exchange Rate Effect came in at $292000.0 in Q2 2026, down 96.13% year-over-year from $7.5 million in Q2 2025, and up 112.15% quarter-over-quarter from -$2.4 million in Q1 2026.
Palantir Technologies (PLTR) Exchange Rate Effect (2019 - 2026) Analysis & Trends
Palantir Technologies (PLTR) has reported Exchange Rate Effect for 8 consecutive years, with $292000.0 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 96.13% year-over-year to $292000.0 in Q2 2026; TTM through Jun 2026 was -$6.2 million, a 163.3% decrease from a year earlier, with the FY2025 full-year figure at $7.5 million, up 210.85% from the prior year.
- Exchange Rate Effect was $292000.0 for Q2 2026 at Palantir Technologies, up from -$2.4 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $8.6 million in Q4 2022 and troughed at -$7.7 million in Q4 2024.
- A 5-year average of -$129722.2 and a median of -$825500.0 in 2022 frame the typical range for Exchange Rate Effect.
- The widest YoY moves for Exchange Rate Effect: up 3166.07% in 2022, down 900.86% in 2022.
- Over 5 years, Exchange Rate Effect stood at $8.6 million in 2022, then tumbled by 41.26% to $5.0 million in 2023, then sank by 252.79% to -$7.7 million in 2024, then soared by 74.47% to -$2.0 million in 2025, then soared by 114.84% to $292000.0 in 2026.
- The last three Exchange Rate Effect figures came in at $292000.0 (Q2 2026), -$2.4 million (Q1 2026), and -$2.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 11.00 Mn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | -11.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -518,000.00 |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
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 |
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_KEY
import 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();