Sonoma Pharmaceuticals (SNOA) Change in Accured Expenses (2010 - 2026)
Sonoma Pharmaceuticals (SNOA) reported Change in Accured Expenses of $391,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$484,000 a year earlier and down 19.4% from the prior quarter.
Sonoma Pharmaceuticals (SNOA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sonoma Pharmaceuticals' Change in Accured Expenses came in at $1.11 million; for FY2026 (ended Mar 31, 2026), it was $237,000, down 19.7% from FY2025.
- By fiscal year, Change in Accured Expenses came in at $295,000 in FY2025 (+32.9%), $222,000 in FY2024 (+74.8%), $127,000 in FY2023 (-81.3%) and $679,000 in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$533,000 in fiscal Q2 2024 and a high of $542,000 in fiscal Q4 2022.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 41.6%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2022 (growth of 388.3%); the low point was fiscal Q3 2024 (a decline of 67.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $485,000 (Q4 2026), $78,000 (Q3 2026) and $158,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Sonoma Pharmaceuticals | 4.73 Mn | -8.60 Mn | 2.58 Mn | 391,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 391,000.00 |
| Mar 31, 2026 | 485,000.00 |
| Dec 31, 2025 | 78,000.00 |
| Sep 30, 2025 | 158,000.00 |
| Jun 30, 2025 | -484,000.00 |
| Mar 31, 2025 | 153,000.00 |
| Dec 31, 2024 | 43,000.00 |
| Sep 30, 2024 | -87,000.00 |
| Jun 30, 2024 | 186,000.00 |
| Mar 31, 2024 | 448,000.00 |
| Dec 31, 2023 | 127,000.00 |
| Sep 30, 2023 | -533,000.00 |
| Jun 30, 2023 | 180,000.00 |
| Mar 31, 2023 | -219,000.00 |
| Dec 31, 2022 | 390,000.00 |
| Sep 30, 2022 | -158,000.00 |
| Jun 30, 2022 | 114,000.00 |
| Mar 31, 2022 | 542,000.00 |
| Dec 31, 2021 | 306,000.00 |
| Sep 30, 2021 | -209,000.00 |
Sonoma Pharmaceuticals Change in Accured 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=change-in-accured-expenses&ticker=SNOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SNOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();