Adobe (ADBE) Exchange Rate Effect (2009 - 2026)
Adobe's (ADBE) quarterly Exchange Rate Effect came in at -$9.0 million in Q2 2026, down 118.75% year-over-year from $48.0 million in Q2 2025, and down 169.23% quarter-over-quarter from $13.0 million in Q1 2026.
Adobe (ADBE) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Adobe (ADBE) has reported Exchange Rate Effect for 18 consecutive years, with -$9.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 118.75% year-over-year to -$9.0 million in Q2 2026; TTM through May 2026 was $2.0 million, a 93.1% decrease from a year earlier, with the FY2025 full-year figure at $34.0 million, up 477.78% from the prior year.
- Exchange Rate Effect was -$9.0 million for Q2 2026 at Adobe, down from $13.0 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $48.0 million in Q2 2025 and troughed at -$36.0 million in Q3 2022.
- A 5-year average of -$722222.2 and a median of -$500000.0 in 2023 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect sank 3700.0% in 2022 and jumped 1700.0% in 2025, its largest moves.
- Over 5 years, Exchange Rate Effect stood at $21.0 million in 2022, then slumped by 66.67% to $7.0 million in 2023, then slumped by 371.43% to -$19.0 million in 2024, then surged by 47.37% to -$10.0 million in 2025, then gained by 10.0% to -$9.0 million in 2026.
- The last three Exchange Rate Effect figures came in at -$9.0 million (Q2 2026), $13.0 million (Q1 2026), and -$10.0 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn | - |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn | -932,000.00 |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn | -2.00 Mn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn | - |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn | - |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn | -1.40 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn | 2.31 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn | 104,000.00 |
| 10 | Open Text | 5.59 Bn | 4.63 Bn | 1.01 Bn | -3.37 Mn |
Historic Data
| Date | Value |
|---|---|
| May 29, 2026 | -9.00 Mn |
| Feb 27, 2026 | 13.00 Mn |
| Nov 28, 2025 | -10.00 Mn |
| Aug 29, 2025 | 8.00 Mn |
| May 30, 2025 | 48.00 Mn |
| Feb 28, 2025 | -12.00 Mn |
| Nov 29, 2024 | -19.00 Mn |
| Aug 30, 2024 | 12.00 Mn |
| May 31, 2024 | -3.00 Mn |
| Mar 1, 2024 | 1.00 Mn |
| Dec 1, 2023 | 7.00 Mn |
| Sep 1, 2023 | -2.00 Mn |
| Jun 2, 2023 | 3.00 Mn |
| Mar 3, 2023 | 1.00 Mn |
| Dec 2, 2022 | 21.00 Mn |
| Sep 2, 2022 | -36.00 Mn |
| Jun 3, 2022 | -26.00 Mn |
| Mar 4, 2022 | -10.00 Mn |
| Dec 3, 2021 | -28.00 Mn |
| Sep 3, 2021 | 1.00 Mn |
Adobe 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=ADBE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "ADBE", "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=ADBE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();