Data Storage (DTST) Long-Term Debt Repayments (2010 - 2025)
Data Storage (DTST) recorded Long-Term Debt Repayments of $33,879 in Q1 2025, down 48.9% from $66,280 a year earlier and down 15.7% from the prior quarter.
Powered by 
Analysis
Data Storage (DTST) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
For FY2024, Data Storage reported Long-Term Debt Repayments of $222,362, down 57.3% from FY2023.
- Annual Long-Term Debt Repayments has declined for three straight years, with a five-year compound annual growth rate of -21.4% (FY2019 to FY2024).
- Across earlier years, Long-Term Debt Repayments came in at $520,624 in FY2023 (-40.0%), $867,741 in FY2022 (-10.4%), $968,420 in FY2021 (+34.7%) and $718,690 in FY2020 (-3.1%).
- The Q1 2025 figure is the lowest quarterly Long-Term Debt Repayments since Q3 2017.
- On a year-over-year basis, Long-Term Debt Repayments has declined for nine consecutive quarters, with an average decline of 50.5% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 171.8% in Q4 2022, against a decline of 68.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $40,199 (Q4 2024), $39,389 (Q3 2024) and $76,494 (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | 4.25 Bn |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | 1.02 Bn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | -251.98 Mn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | 1.26 Bn |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | 1.17 Bn |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Data Storage | 6.89 Mn | -99.05 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 Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();