Data I (DAIO) Exchange Rate Effect (2010 - 2026)
Data I (DAIO) reported Exchange Rate Effect of $64,000 for Q2 2026, down 70.1% from $214,000 a year earlier but up 18.5% from the prior quarter.
Data I (DAIO) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Data I's Exchange Rate Effect came in at $267,000, up 17.6% year-over-year; for FY2025, it was $467,000.
- Exchange Rate Effect has a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at -$321,000 in FY2024, -$46,000 in FY2023, -$383,000 in FY2022 and -$341,000 in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$322,000 in Q3 2022 and a high of $267,000 in Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $54,000 (Q1 2026), $94,000 (Q4 2025) and $55,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,094.46 Bn | 4,841.95 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 415.82 Bn | 351.75 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Dell Technologies | 290.96 Bn | 246.72 Bn | 9.83 Bn | -22.00 Mn |
| 4 | Arista Networks | 216.33 Bn | 169.79 Bn | 1.91 Bn | -1.00 Mn |
| 5 | Sandisk | 186.25 Bn | 174.78 Bn | 7.58 Bn | - |
| 6 | Sony | 156.84 Bn | 94.10 Bn | 6.53 Bn | 650.39 Mn |
| 7 | Seagate Technology Holdings | 140.29 Bn | 135.28 Bn | 1.90 Bn | - |
| 8 | Western Digital | 121.85 Bn | 109.98 Bn | 2.03 Bn | - |
| 9 | Hewlett Packard Enterprise | 74.03 Bn | 51.91 Bn | 4.93 Bn | -30.00 Mn |
| 10 | Data I | 23.59 Mn | 23.59 Mn | - | 64,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64,000.00 |
| Mar 31, 2026 | 54,000.00 |
| Dec 31, 2025 | 94,000.00 |
| Sep 30, 2025 | 55,000.00 |
| Jun 30, 2025 | 214,000.00 |
| Mar 31, 2025 | 104,000.00 |
| Dec 31, 2024 | -292,000.00 |
| Sep 30, 2024 | 201,000.00 |
| Jun 30, 2024 | -61,000.00 |
| Mar 31, 2024 | -169,000.00 |
| Dec 31, 2023 | 214,000.00 |
| Sep 30, 2023 | -75,000.00 |
| Jun 30, 2023 | -256,000.00 |
| Mar 31, 2023 | 71,000.00 |
| Dec 31, 2022 | 267,000.00 |
| Sep 30, 2022 | -322,000.00 |
| Jun 30, 2022 | -282,000.00 |
| Mar 31, 2022 | -46,000.00 |
| Dec 31, 2021 | 63,000.00 |
| Sep 30, 2021 | -72,000.00 |
Data I 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=DAIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "DAIO", "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=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();