Intuit (INTU) Exchange Rate Effect (2009 - 2026)
Intuit's (INTU) quarterly Exchange Rate Effect came in at -$11.0 million in Q3 2026, down 1000.0% year-over-year from $1.2 million in Q3 2025, and down 466.67% on a QoQ basis from $3.0 million in Q2 2026.
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Analysis
Intuit (INTU) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Intuit (INTU) has 18 years of Exchange Rate Effect data on file, last reported at -$11.0 million in Q3 2026.
- On a quarterly basis, Exchange Rate Effect fell 1000.0% year-over-year to -$11.0 million in Q3 2026; TTM through Jul 2026 was -$2.0 million, a 166.67% decrease from a year earlier, with the FY2026 full-year figure at -$2.0 million, down 166.67% from the prior year.
- Exchange Rate Effect for Q3 2026 stood at -$11.0 million, down from $3.0 million in the prior quarter.
- Across five years, Exchange Rate Effect topped out at $16.0 million in Q2 2025 and bottomed at -$17.0 million in Q4 2023.
- Historically, Exchange Rate Effect has averaged -$1.8 million across 5 years, with a median of -$1.5 million in 2023.
- The widest annual swing landed in 2023, when Exchange Rate Effect jumped 475.0%; it then plunged 1000.0% in 2026.
- Year by year, Exchange Rate Effect stood at -$16.0 million in 2022, then decreased by 6.25% to -$17.0 million in 2023, then surged by 94.12% to -$1.0 million in 2024, then changed by 0.0% to -$1.0 million in 2025, then plunged by 1000.0% to -$11.0 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$11.0 million in Q3 2026, $3.0 million in Q2 2026, and $7.0 million in Q1 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -11.00 Mn |
| Apr 30, 2026 | 3.00 Mn |
| Jan 31, 2026 | 7.00 Mn |
| Oct 31, 2025 | -1.00 Mn |
| Jul 31, 2025 | -1.00 Mn |
| Apr 30, 2025 | 16.00 Mn |
| Jan 31, 2025 | -12.00 Mn |
| Jul 31, 2024 | -1.00 Mn |
| Apr 30, 2024 | -8.00 Mn |
| Jan 31, 2024 | 13.00 Mn |
| Oct 31, 2023 | -17.00 Mn |
| Jul 31, 2023 | -2.00 Mn |
| Apr 30, 2023 | 3.00 Mn |
| Jan 31, 2023 | 15.00 Mn |
| Oct 31, 2022 | -16.00 Mn |
| Jul 31, 2022 | -4.00 Mn |
| Apr 30, 2022 | -12.00 Mn |
| Jan 31, 2022 | -4.00 Mn |
| Oct 31, 2021 | -2.00 Mn |
| Jul 31, 2021 | -1.00 Mn |
API Access
Intuit 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=INTU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "INTU", "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=INTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();