Data Storage (DTST) Non Operating Interest Expenses (2010 - 2025)
Data Storage (DTST) reported Non Operating Interest Expenses of $16,236 for Q2 2025, up 58.2% from $10,260 a year earlier and up 708.2% from the prior quarter.
Data Storage (DTST) Non Operating Interest Expenses (2010 - 2025) Analysis & Trends
Over the twelve months ended Jun 30, 2025, Data Storage's Non Operating Interest Expenses came in at $115,733, up 141.6% year-over-year; for FY2024, it was $119,008, up 59.7% from FY2023.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -7.7% (FY2019 to FY2024).
- By year, Non Operating Interest Expenses came in at $74,502 in FY2023 (-47.2%), $141,056 in FY2022 (+11.3%), $126,746 in FY2021 (-27.8%) and $175,602 in FY2020 (-1.0%).
- Five-year quarterly Non Operating Interest Expenses spans a low of -$45,007 in Q4 2022 and a high of $113,664 in Q2 2022.
- Year over year, Non Operating Interest Expenses gained in three of the last seven quarters, with growth averaging 29.7%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2024 (growth of 400.5%); the low point was Q1 2025 (a decline of 82.2%).
- Per Business Quant data, the three quarters before Q2 2025 came in at $2,009 (Q1 2025), $87,673 (Q4 2024) and $9,815 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn | 373.00 Mn |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn | - |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn | 2.00 Mn |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn | - |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn | 64.00 Mn |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn | 14.00 Mn |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn | 147.26 Mn |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn | 3.60 Mn |
| 10 | Data Storage | 7.74 Mn | 7.52 Mn | 168,481.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 16,236.00 |
| Mar 31, 2025 | 2,009.00 |
| Dec 31, 2024 | 87,673.00 |
| Sep 30, 2024 | 9,815.00 |
| Jun 30, 2024 | 10,260.00 |
| Mar 31, 2024 | 11,260.00 |
| Dec 31, 2023 | 17,517.00 |
| Sep 30, 2023 | 8,874.00 |
| Jun 30, 2023 | 20,764.00 |
| Mar 31, 2023 | 27,347.00 |
| Dec 31, 2022 | -45,007.00 |
| Sep 30, 2022 | 29,739.00 |
| Jun 30, 2022 | 113,664.00 |
| Mar 31, 2022 | 42,660.00 |
| Dec 31, 2021 | 29,354.00 |
| Sep 30, 2021 | 15,726.00 |
| Jun 30, 2021 | 46,621.00 |
| Mar 31, 2021 | 35,045.00 |
| Dec 31, 2020 | 42,757.00 |
| Sep 30, 2020 | 42,726.00 |
Data Storage Non Operating Interest Expenses 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-operating-interest-expenses&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();