Data I (DAIO) Selling, General & Administrative (2010 - 2026)
Data I (DAIO) reported Selling, General & Administrative of $3.46 million for Q1 2026, up 68.9% from $2.05 million a year earlier and up 34.6% from the prior quarter.
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Analysis
Data I (DAIO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Data I's Selling, General & Administrative came in at $10.59 million, up 33.1% year-over-year; for FY2025, it came in at $9.18 million, up 9.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $8.4 million in FY2024 (-8.8%), $9.21 million in FY2023 (+17.0%), $7.88 million in FY2022 (-5.8%) and $8.36 million in FY2021 (+21.3%).
- The Q1 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Year over year, Selling, General & Administrative has now increased in each of the last four quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2026 (growth of 68.9%); the low point was Q2 2024 (a decline of 23.3%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $2.57 million (Q4 2025), $2.42 million (Q3 2025) and $2.14 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 7.35 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 679.00 Mn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 3.34 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 33.80 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 197.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 147.00 Mn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 138.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 3.57 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 91.20 Mn |
| 10 | Data I | 30.46 Mn | 30.46 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.46 Mn |
| Dec 31, 2025 | 2.57 Mn |
| Sep 30, 2025 | 2.42 Mn |
| Jun 30, 2025 | 2.14 Mn |
| Mar 31, 2025 | 2.05 Mn |
| Dec 31, 2024 | 2.29 Mn |
| Sep 30, 2024 | 1.71 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | 2.21 Mn |
| Sep 30, 2023 | 2.01 Mn |
| Jun 30, 2023 | 2.49 Mn |
| Mar 31, 2023 | 2.51 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | 1.93 Mn |
| Mar 31, 2022 | 2.05 Mn |
| Dec 31, 2021 | 2.03 Mn |
| Sep 30, 2021 | 2.22 Mn |
| Jun 30, 2021 | 2.05 Mn |
API Access
Data I 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=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DAIO", "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=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();