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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 126.42 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 76.03 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 124.65 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 8.58 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 3.27 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 6.63 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 4.24 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.78 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 2.55 Bn |
| 10 | Data I | 30.46 Mn | 30.46 Mn | - | - |
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 |
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_KEY
import 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();