Data I (DAIO) Total Liabilities (2010 - 2026)
Data I's Total Liabilities came in at $7.16 million for Q1 2026, up 2.8% from $6.97 million a year earlier and up 7.5% from the prior quarter.
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Analysis
Data I (DAIO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Data I's Total Liabilities was $6.66 million, down 9.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $7.34 million in FY2024 (+3.7%), $7.08 million in FY2023 (-12.1%), $8.06 million in FY2022 (-12.5%) and $9.2 million in FY2021 (+54.6%).
- The Q1 2026 figure represents the highest quarterly Total Liabilities since Q4 2024.
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 0.8%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 54.6%), and the weakest in Q2 2024 (a decline of 32.1%).
- Business Quant data shows DAIO's Total Liabilities at $6.66 million (Q4 2025), $6.68 million (Q3 2025) and $6.87 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn | 2.66 Bn |
| 10 | Data I | 30.88 Mn | 30.88 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.16 Mn |
| Dec 31, 2025 | 6.66 Mn |
| Sep 30, 2025 | 6.68 Mn |
| Jun 30, 2025 | 6.87 Mn |
| Mar 31, 2025 | 6.97 Mn |
| Dec 31, 2024 | 7.34 Mn |
| Sep 30, 2024 | 5.65 Mn |
| Jun 30, 2024 | 5.17 Mn |
| Mar 31, 2024 | 6.57 Mn |
| Dec 31, 2023 | 7.08 Mn |
| Sep 30, 2023 | 6.71 Mn |
| Jun 30, 2023 | 7.61 Mn |
| Mar 31, 2023 | 7.95 Mn |
| Dec 31, 2022 | 8.06 Mn |
| Sep 30, 2022 | 8.54 Mn |
| Jun 30, 2022 | 8.19 Mn |
| Mar 31, 2022 | 8.23 Mn |
| Dec 31, 2021 | 9.20 Mn |
| Sep 30, 2021 | 7.54 Mn |
| Jun 30, 2021 | 7.39 Mn |
API Access
Data I Total Liabilities 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=total-liabilities&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();