Data Storage (DTST) Selling, General & Administrative (2010 - 2026)
Data Storage (DTST) posted Selling, General & Administrative of $1.45 million for Q2 2026, up 33.2% from $1.09 million a year earlier but down 1.5% from the prior quarter.
Data Storage (DTST) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Data Storage was $10.55 million, up 170.2% year-over-year; for FY2025, it was $4.19 million, up 9.1% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Data Storage's Selling, General & Administrative was $3.84 million in FY2024 (-60.6%), $9.74 million in FY2023 (-0.9%), $9.84 million in FY2022 (+36.9%) and $7.18 million in FY2021 (+84.4%).
- Quarterly Selling, General & Administrative has run from a low of $856,915 in Q1 2025 to a high of $6.68 million in Q3 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in two of the last seven quarters, with an average decline of 21.6%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2021, with growth of 159.8%; the weakest was Q1 2025, with a decline of 68.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 7.35 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 3.34 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 33.80 Mn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 197.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 147.00 Mn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 138.00 Mn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 3.57 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 91.20 Mn |
| 10 | Data Storage | 7.45 Mn | 7.23 Mn | 168,481.00 | 1.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Mn |
| Mar 31, 2026 | 1.47 Mn |
| Dec 31, 2025 | 945,193.00 |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.09 Mn |
| Mar 31, 2025 | 856,915.00 |
| Dec 31, 2024 | 973,228.00 |
| Sep 30, 2024 | 984,099.00 |
| Jun 30, 2024 | 2.80 Mn |
| Mar 31, 2024 | 2.75 Mn |
| Dec 31, 2023 | 2.83 Mn |
| Sep 30, 2023 | 2.32 Mn |
| Jun 30, 2023 | 2.47 Mn |
| Mar 31, 2023 | 2.13 Mn |
| Dec 31, 2022 | 2.71 Mn |
| Sep 30, 2022 | 2.08 Mn |
| Jun 30, 2022 | 2.59 Mn |
| Mar 31, 2022 | 2.46 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 1.87 Mn |
Data Storage Selling, General & Administrative 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=selling-general-and-administrative&ticker=DTST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DTST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();