Solitron Devices (SODI) Operating Expenses (2010 - 2026)
Solitron Devices (SODI) reported Operating Expenses of $930,000 for fiscal Q1 2027 (quarter ended May 31, 2026), up 21.1% from $768,000 a year earlier and up 14.4% from the prior quarter.
Solitron Devices (SODI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Solitron Devices' Operating Expenses came in at $3.66 million, up 27.2% year-over-year; for FY2026 (ended Feb 28, 2026), it came in at $3.5 million, up 16.9% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 10.7% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $2.99 million in FY2025 (+4.2%), $2.87 million in FY2024 (+40.0%), $2.05 million in FY2023 (-18.1%) and $2.51 million in FY2022 (+18.9%).
- Five-year quarterly Operating Expenses spans a low of $460,000 in fiscal Q3 2023 and a high of $1.13 million in fiscal Q2 2026.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 9.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2024 (growth of 86.7%); the low point was fiscal Q2 2023 (a decline of 24.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $813,000 (Q4 2026), $794,000 (Q3 2026) and $1.13 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,244.27 Bn | 5,018.43 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,211.84 Bn | 1,836.70 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,597.35 Bn | 1,523.39 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,020.23 Bn | 925.87 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 880.17 Bn | 836.92 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 634.20 Bn | 589.89 Bn | 5.90 Bn | - |
| 7 | Intel | 471.00 Bn | 340.13 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 332.65 Bn | 309.44 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 321.76 Bn | 287.20 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Solitron Devices | 77.69 Mn | 60.38 Mn | 2.47 Mn | 930,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 930,000.00 |
| Feb 28, 2026 | 813,000.00 |
| Nov 30, 2025 | 794,000.00 |
| Aug 31, 2025 | 1.13 Mn |
| May 31, 2025 | 768,000.00 |
| Feb 28, 2025 | 748,000.00 |
| Nov 30, 2024 | 675,000.00 |
| Aug 31, 2024 | 688,000.00 |
| May 31, 2024 | 883,000.00 |
| Feb 29, 2024 | 858,000.00 |
| Nov 30, 2023 | 859,000.00 |
| Aug 31, 2023 | 614,000.00 |
| May 31, 2023 | 542,000.00 |
| Feb 28, 2023 | 517,000.00 |
| Nov 30, 2022 | 460,000.00 |
| Aug 31, 2022 | 499,000.00 |
| May 31, 2022 | 576,000.00 |
| Feb 28, 2022 | 637,000.00 |
| Nov 30, 2021 | 497,000.00 |
| Aug 31, 2021 | 659,000.00 |
Solitron Devices Operating 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=operating-expenses&ticker=SODI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SODI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SODI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();