Data I (DAIO) Total Non-Current Liabilities (2010 - 2024)
Data I's Total Non-Current Liabilities was $5.43 million in Q3 2024, down 16.8% from $6.53 million a year earlier but up 10.5% from the prior quarter.
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Analysis
Data I (DAIO) Total Non-Current Liabilities (2010 - 2024) Analysis & Trends
At the end of FY2023, Total Non-Current Liabilities at Data I came in at $6.89 million, down 11.9% from FY2022.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.1% (FY2018 to FY2023).
- In earlier years, Total Non-Current Liabilities was $7.82 million in FY2022 (-13.8%), $9.07 million in FY2021 (+56.9%), $5.78 million in FY2020 (-13.2%) and $6.66 million in FY2019 (-2.8%).
- Quarterly Total Non-Current Liabilities has moved between $4.92 million (Q2 2024) and $9.07 million (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for eight straight quarters, with an average decline of 15.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2021 (growth of 56.9%); the worst was Q2 2024 (a decline of 33.5%).
- Per Business Quant data, DAIO's Total Non-Current Liabilities in the three quarters before Q3 2024 was $4.92 million (Q2 2024), $6.35 million (Q1 2024) and $6.89 million (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | 126.42 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 73.69 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | 124.65 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | 8.58 Bn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 6.14 Bn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 6.51 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 14.55 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 | 47.78 Bn |
| 10 | Data I | 24.65 Mn | 24.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 5.43 Mn |
| Jun 30, 2024 | 4.92 Mn |
| Mar 31, 2024 | 6.35 Mn |
| Dec 31, 2023 | 6.89 Mn |
| Sep 30, 2023 | 6.53 Mn |
| Jun 30, 2023 | 7.40 Mn |
| Mar 31, 2023 | 7.73 Mn |
| Dec 31, 2022 | 7.82 Mn |
| Sep 30, 2022 | 8.34 Mn |
| Jun 30, 2022 | 7.99 Mn |
| Mar 31, 2022 | 8.04 Mn |
| Dec 31, 2021 | 9.07 Mn |
| Sep 30, 2021 | 7.32 Mn |
| Jun 30, 2021 | 7.23 Mn |
| Dec 31, 2020 | 5.78 Mn |
| Sep 30, 2020 | 6.32 Mn |
| Mar 31, 2020 | 6.07 Mn |
| Dec 31, 2019 | 6.66 Mn |
| Sep 30, 2019 | 6.52 Mn |
| Jun 30, 2019 | 6.80 Mn |
API Access
Data I Total Non-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-non-current-liabilities&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();