Data Storage (DTST) Total Liabilities (2010 - 2026)
Data Storage (DTST) posted Total Liabilities of $804,661 for Q2 2026, down 74.8% from $3.19 million a year earlier and down 25.7% from the prior quarter.
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Analysis
Data Storage (DTST) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Data Storage's Total Liabilities came in at $2.1 million, down 48.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -18.5% (FY2020 to FY2025).
- In prior years, Data Storage's Total Liabilities was $4.11 million in FY2024 (+15.8%), $3.55 million in FY2023 (-31.0%), $5.14 million in FY2022 (+38.1%) and $3.72 million in FY2021 (-36.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 31.3% over the last seven quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 38.1%; the weakest was Q1 2026, with a decline of 80.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn | 292.46 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn | 8.82 Bn |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn | 128.82 Bn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - | 47.33 Bn |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn | 7.66 Bn |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn | 6.87 Bn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn | 4.89 Bn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Data Storage | 6.51 Mn | -99.21 Mn | 168,481.00 | 804,661.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 804,661.00 |
| Mar 31, 2026 | 1.08 Mn |
| Dec 31, 2025 | 2.10 Mn |
| Sep 30, 2025 | 8.17 Mn |
| Jun 30, 2025 | 3.19 Mn |
| Mar 31, 2025 | 5.48 Mn |
| Dec 31, 2024 | 4.11 Mn |
| Sep 30, 2024 | 3.59 Mn |
| Jun 30, 2024 | 4.03 Mn |
| Mar 31, 2024 | 5.55 Mn |
| Dec 31, 2023 | 3.55 Mn |
| Sep 30, 2023 | 3.94 Mn |
| Jun 30, 2023 | 3.40 Mn |
| Mar 31, 2023 | 5.28 Mn |
| Dec 31, 2022 | 5.14 Mn |
| Sep 30, 2022 | 3.57 Mn |
| Jun 30, 2022 | 4.19 Mn |
| Mar 31, 2022 | 7.13 Mn |
| Dec 31, 2021 | 3.72 Mn |
| Sep 30, 2021 | 4.22 Mn |
API Access
Data Storage Total 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-liabilities&ticker=DTST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();