Data I (DAIO) Cost of Revenue (2010 - 2026)
Data I (DAIO) reported Cost of Revenue of $1.64 million for Q1 2026, down 45.1% from $2.99 million a year earlier and down 27.7% from the prior quarter.
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Analysis
Data I (DAIO) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Data I's Cost of Revenue came in at $9.56 million, down 6.9% year-over-year; for FY2025, it came in at $10.9 million, up 7.3% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $10.16 million in FY2024 (-14.4%), $11.88 million in FY2023 (+7.9%), $11.01 million in FY2022 (-1.0%) and $11.12 million in FY2021 (+16.9%).
- The Q1 2026 figure ranks as the lowest quarterly Cost of Revenue in data going back to Q2 2010.
- Year over year, Cost of Revenue gained in three of the last eight quarters, with an average decline of 8.7%.
- The high point for year-over-year Cost of Revenue in five years was Q2 2023 (growth of 50.4%); the low point was Q1 2026 (a decline of 45.1%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $2.27 million (Q4 2025), $2.66 million (Q3 2025) and $2.99 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 54.65 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 6.19 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 37.14 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 1.13 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 1.38 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 1.73 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 1.72 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 11.27 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 509.80 Mn |
| 10 | Data I | 30.98 Mn | 30.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.64 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 2.66 Mn |
| Jun 30, 2025 | 2.99 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 2.48 Mn |
| Sep 30, 2024 | 2.50 Mn |
| Jun 30, 2024 | 2.31 Mn |
| Mar 31, 2024 | 2.88 Mn |
| Dec 31, 2023 | 2.88 Mn |
| Sep 30, 2023 | 3.04 Mn |
| Jun 30, 2023 | 3.03 Mn |
| Mar 31, 2023 | 2.93 Mn |
| Dec 31, 2022 | 3.23 Mn |
| Sep 30, 2022 | 3.10 Mn |
| Jun 30, 2022 | 2.01 Mn |
| Mar 31, 2022 | 2.66 Mn |
| Dec 31, 2021 | 2.90 Mn |
| Sep 30, 2021 | 2.64 Mn |
| Jun 30, 2021 | 2.90 Mn |
API Access
Data I Cost of Revenue 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=cost-of-revenue&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();