Data I (DAIO) Cash & Equivalents (2010 - 2026)
Data I (DAIO) reported Cash & Equivalents of $5.71 million for Q1 2026, down 45.6% from $10.49 million a year earlier and down 27.8% from the prior quarter.
Data I (DAIO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Data I posted Cash & Equivalents of $7.9 million, down 23.5% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $10.33 million in FY2024 (-16.3%), $12.34 million in FY2023 (+7.2%), $11.51 million in FY2022 (-18.9%) and $14.19 million in FY2021 (+0.2%).
- The Q1 2026 figure ranks as the lowest quarterly Cash & Equivalents in data going back to Q2 2010.
- Year over year, Cash & Equivalents has now declined in each of the last six quarters, with an average decline of 16.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q2 2023 (growth of 15.3%); the low point was Q1 2026 (a decline of 45.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $7.9 million (Q4 2025), $9.66 million (Q3 2025) and $9.97 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 39.54 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 7.22 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 11.57 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 2.29 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 4.76 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 1.70 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 1.58 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 13.61 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 2.04 Bn |
| 10 | Data I | 30.46 Mn | 30.46 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.71 Mn |
| Dec 31, 2025 | 7.90 Mn |
| Sep 30, 2025 | 9.66 Mn |
| Jun 30, 2025 | 9.97 Mn |
| Mar 31, 2025 | 10.49 Mn |
| Dec 31, 2024 | 10.33 Mn |
| Sep 30, 2024 | 12.37 Mn |
| Jun 30, 2024 | 11.44 Mn |
| Mar 31, 2024 | 12.00 Mn |
| Dec 31, 2023 | 12.34 Mn |
| Sep 30, 2023 | 11.87 Mn |
| Jun 30, 2023 | 11.87 Mn |
| Mar 31, 2023 | 11.87 Mn |
| Dec 31, 2022 | 11.51 Mn |
| Sep 30, 2022 | 11.04 Mn |
| Jun 30, 2022 | 10.29 Mn |
| Mar 31, 2022 | 12.30 Mn |
| Dec 31, 2021 | 14.19 Mn |
| Sep 30, 2021 | 14.24 Mn |
| Jun 30, 2021 | 13.01 Mn |
Data I Cash & Equivalents 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=cash-and-equivalents&ticker=DAIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();