Sono Tek (SOTK) Operating Expenses (2010 - 2026)
Sono Tek's Operating Expenses came in at $2.32 million for fiscal Q1 2027 (quarter ended May 31, 2026), up 6.2% from $2.18 million a year earlier and up 5.7% from the prior quarter.
Sono Tek (SOTK) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Sono Tek reported Operating Expenses of $8.87 million, up 2.0% year-over-year; for FY2026 (ended Feb 28, 2026), it was $8.73 million, up 0.1% from FY2025.
- Operating Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 9.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $8.73 million in FY2025 (+0.8%), $8.66 million in FY2024 (+24.3%), $6.97 million in FY2023 (+3.7%) and $6.72 million in FY2022 (+18.9%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses since fiscal Q4 2024.
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 0.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 41.6%), and the weakest in fiscal Q4 2025 (a decline of 9.2%).
- Business Quant data shows SOTK's Operating Expenses at $2.19 million (Q4 2026), $2.19 million (Q3 2026) and $2.17 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Sono Tek | 78.27 Mn | 24.52 Mn | 3.21 Mn | 2.32 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.32 Mn |
| Feb 28, 2026 | 2.19 Mn |
| Nov 30, 2025 | 2.19 Mn |
| Aug 31, 2025 | 2.17 Mn |
| May 31, 2025 | 2.18 Mn |
| Feb 28, 2025 | 2.14 Mn |
| Nov 30, 2024 | 2.15 Mn |
| Aug 31, 2024 | 2.23 Mn |
| May 31, 2024 | 2.22 Mn |
| Feb 29, 2024 | 2.35 Mn |
| Nov 30, 2023 | 2.21 Mn |
| Aug 31, 2023 | 2.23 Mn |
| May 31, 2023 | 1.87 Mn |
| Feb 28, 2023 | 1.80 Mn |
| Nov 30, 2022 | 1.72 Mn |
| Aug 31, 2022 | 1.72 Mn |
| May 31, 2022 | 1.73 Mn |
| Feb 28, 2022 | 1.95 Mn |
| Nov 30, 2021 | 1.67 Mn |
| Aug 31, 2021 | 1.63 Mn |
Sono Tek 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=SOTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SOTK", "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=SOTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();