Data Storage (DTST) Net Long-Term Debt Issued (Repaid) (2010 - 2025)
Data Storage (DTST) posted Non-Current Debt of $190,000 for FY2016.
Analysis
Data Storage (DTST) Net Long-Term Debt Issued (Repaid) (2010 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn | -4.25 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn | -1.99 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn | 3.37 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn | -1.26 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn | -270.00 Mn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn | -999.00 Mn |
| 10 | Data Storage | 6.51 Mn | -99.21 Mn | 168,481.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -51,520.00 |
| Dec 31, 2024 | -102,209.00 |
| Sep 30, 2024 | -107,506.00 |
| Jun 30, 2024 | -108,889.00 |
| Mar 31, 2024 | -167,358.00 |
| Dec 31, 2023 | -193,684.00 |
| Sep 30, 2023 | -142,322.00 |
| Jun 30, 2023 | -220,759.00 |
| Mar 31, 2023 | -323,728.00 |
| Dec 31, 2022 | -310,087.00 |
| Sep 30, 2022 | -275,163.00 |
| Jun 30, 2022 | -329,092.00 |
| Mar 31, 2022 | -339,908.00 |
| Dec 31, 2021 | -127,081.00 |
| Sep 30, 2021 | -320,679.00 |
| Jun 30, 2021 | -326,898.00 |
| Mar 31, 2021 | -350,607.00 |
| Dec 31, 2020 | -109,481.00 |
| Sep 30, 2020 | -263,662.00 |
| Jun 30, 2020 | -232,117.00 |
API Access
Data Storage Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "DTST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();