Data I (DAIO) Total Current Liabilities (2010 - 2026)
Data I's Total Current Liabilities came in at $5.68 million for Q1 2026, up 13.5% from $5 million a year earlier and up 14.0% from the prior quarter.
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Analysis
Data I (DAIO) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Data I's Total Current Liabilities was $4.98 million, down 1.8% from FY2024.
- Total Current Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $5.07 million in FY2024 (-18.0%), $6.19 million in FY2023 (-2.1%), $6.32 million in FY2022 (-6.9%) and $6.79 million in FY2021 (+30.8%).
- The Q1 2026 figure represents the highest quarterly Total Current Liabilities since Q1 2024.
- Year-over-year, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 5.5%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 30.8%), and the weakest in Q2 2024 (a decline of 28.8%).
- Business Quant data shows DAIO's Total Current Liabilities at $4.98 million (Q4 2025), $5.07 million (Q3 2025) and $5.08 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 149.33 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 41.53 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 83.70 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | 6.82 Bn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 5.58 Bn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 3.13 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 30.37 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 4.24 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | 30.44 Bn |
| 10 | Data I | 24.65 Mn | 24.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.68 Mn |
| Dec 31, 2025 | 4.98 Mn |
| Sep 30, 2025 | 5.07 Mn |
| Jun 30, 2025 | 5.08 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 5.07 Mn |
| Sep 30, 2024 | 4.55 Mn |
| Jun 30, 2024 | 4.49 Mn |
| Mar 31, 2024 | 5.78 Mn |
| Dec 31, 2023 | 6.19 Mn |
| Sep 30, 2023 | 5.66 Mn |
| Jun 30, 2023 | 6.31 Mn |
| Mar 31, 2023 | 6.43 Mn |
| Dec 31, 2022 | 6.32 Mn |
| Sep 30, 2022 | 6.68 Mn |
| Jun 30, 2022 | 6.09 Mn |
| Mar 31, 2022 | 5.90 Mn |
| Dec 31, 2021 | 6.79 Mn |
| Sep 30, 2021 | 6.38 Mn |
| Jun 30, 2021 | 6.15 Mn |
API Access
Data I Total Current 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-current-liabilities&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();