Sonoma Pharmaceuticals (SNOA) Operating Expenses (2010 - 2026)
Sonoma Pharmaceuticals (SNOA) reported Operating Expenses of $2.62 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 2.3% from $2.56 million a year earlier and up 3.4% from the prior quarter.
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Analysis
Sonoma Pharmaceuticals (SNOA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sonoma Pharmaceuticals' Operating Expenses came in at $9.93 million, up 7.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $9.88 million, up 7.6% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $9.18 million in FY2025 (-2.9%), $9.45 million in FY2024 (+4.4%), $9.05 million in FY2023 (-8.4%) and $9.88 million in FY2022 (-1.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses since fiscal Q3 2023.
- Year over year, Operating Expenses has now increased in each of the last five quarters, with growth averaging 2.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2024 (growth of 24.3%); the low point was fiscal Q4 2023 (a decline of 36.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.53 million (Q4 2026), $2.33 million (Q3 2026) and $2.46 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Sonoma Pharmaceuticals | 4.92 Mn | -8.41 Mn | 2.58 Mn | 2.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Mn |
| Mar 31, 2026 | 2.53 Mn |
| Dec 31, 2025 | 2.33 Mn |
| Sep 30, 2025 | 2.46 Mn |
| Jun 30, 2025 | 2.56 Mn |
| Mar 31, 2025 | 2.18 Mn |
| Dec 31, 2024 | 2.30 Mn |
| Sep 30, 2024 | 2.21 Mn |
| Jun 30, 2024 | 2.48 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | 2.30 Mn |
| Sep 30, 2023 | 2.20 Mn |
| Jun 30, 2023 | 2.44 Mn |
| Mar 31, 2023 | 2.01 Mn |
| Dec 31, 2022 | 2.67 Mn |
| Sep 30, 2022 | 2.27 Mn |
| Jun 30, 2022 | 2.50 Mn |
| Mar 31, 2022 | 3.16 Mn |
| Dec 31, 2021 | 2.16 Mn |
| Sep 30, 2021 | 2.21 Mn |
API Access
Sonoma Pharmaceuticals 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=SNOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SNOA", "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=SNOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();