8X8 (EGHT) Exchange Rate Effect (2013 - 2026)
8X8's Exchange Rate Effect was -$362,000 in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with $2.79 million a year earlier.
8X8 (EGHT) Exchange Rate Effect (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, 8X8's Exchange Rate Effect was -$2.12 million through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was $1.03 million, up 77.8% from FY2025.
- Exchange Rate Effect shows a five-year compound annual growth rate of -12.1% (FY2021 to FY2026).
- In earlier fiscal years, Exchange Rate Effect was $577,000 in FY2025, -$126,000 in FY2024, -$5.04 million in FY2023 and -$585,000 in FY2022.
- Quarterly Exchange Rate Effect has moved between -$6.69 million (fiscal Q1 2023) and $6.46 million (fiscal Q3 2023) over five years.
- Per Business Quant data, EGHT's Exchange Rate Effect in the three fiscal quarters before Q1 2027 was -$1.11 million (Q4 2026), $161,000 (Q3 2026) and -$818,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.84 Bn | 68.09 Bn | 6.00 Bn | - |
| 2 | Autodesk | 54.44 Bn | 42.47 Bn | 1.87 Bn | -2.00 Mn |
| 3 | Atlassian | 39.94 Bn | 33.22 Bn | 1.53 Bn | -932,000.00 |
| 4 | Twilio | 33.57 Bn | 23.20 Bn | 760.53 Mn | - |
| 5 | Zoom Communications | 27.01 Bn | -3.72 Bn | 985.50 Mn | -2.45 Mn |
| 6 | Figma | 10.15 Bn | 3.47 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.23 Bn | 2.87 Bn | 506.50 Mn | -1.40 Mn |
| 8 | Open Text | 6.16 Bn | 1.59 Bn | 1.01 Bn | -3.37 Mn |
| 9 | RingCentral | 6.07 Bn | 5.60 Bn | 494.30 Mn | -32,000.00 |
| 10 | 8X8 | 315.76 Mn | -56.69 Mn | 114.56 Mn | -357,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -357,000.00 |
| Jun 30, 2026 | -362,000.00 |
| Mar 31, 2026 | -1.11 Mn |
| Dec 31, 2025 | 161,000.00 |
| Sep 30, 2025 | -818,000.00 |
| Jun 30, 2025 | 2.79 Mn |
| Mar 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | -3.47 Mn |
| Sep 30, 2024 | 3.18 Mn |
| Jun 30, 2024 | -164,000.00 |
| Mar 31, 2024 | -800,000.00 |
| Dec 31, 2023 | 2.43 Mn |
| Sep 30, 2023 | -3.97 Mn |
| Jun 30, 2023 | 2.22 Mn |
| Mar 31, 2023 | 710,000.00 |
| Dec 31, 2022 | 6.46 Mn |
| Sep 30, 2022 | -5.52 Mn |
| Jun 30, 2022 | -6.69 Mn |
| Mar 31, 2022 | -415,000.00 |
| Dec 31, 2021 | -59,000.00 |
8X8 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=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "EGHT", "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=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();