Sonoma Pharmaceuticals (SNOA) Total Liabilities (2011 - 2026)
Sonoma Pharmaceuticals (SNOA) posted Total Liabilities of $11.51 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.3% from $10.54 million a year earlier and up 6.0% from the prior quarter.
Sonoma Pharmaceuticals (SNOA) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Sonoma Pharmaceuticals' Total Liabilities came in at $10.87 million, up 17.1% from FY2025.
- Annual Total Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- In prior fiscal years, Sonoma Pharmaceuticals' Total Liabilities was $9.28 million in FY2025 (+7.9%), $8.6 million in FY2024 (+4.2%), $8.25 million in FY2023 (-18.7%) and $10.15 million in FY2022 (+5.4%).
- The fiscal Q1 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q2 2013.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 13.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 38.3%; the weakest was fiscal Q4 2023, with a decline of 18.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $10.87 million (Q4 2026), $10.19 million (Q3 2026) and $10.07 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 247.46 Bn | 226.49 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 177.97 Bn | 148.40 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.52 Bn | 143.33 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 157.82 Bn | 138.11 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 122.28 Bn | 87.53 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.64 Bn | 103.76 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.58 Bn | 61.35 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.22 Bn | 51.37 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.47 Bn | 35.47 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Sonoma Pharmaceuticals | 4.27 Mn | -9.06 Mn | 2.58 Mn | 11.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.51 Mn |
| Mar 31, 2026 | 10.87 Mn |
| Dec 31, 2025 | 10.19 Mn |
| Sep 30, 2025 | 10.07 Mn |
| Jun 30, 2025 | 10.54 Mn |
| Mar 31, 2025 | 9.28 Mn |
| Dec 31, 2024 | 8.80 Mn |
| Sep 30, 2024 | 8.33 Mn |
| Jun 30, 2024 | 8.70 Mn |
| Mar 31, 2024 | 8.60 Mn |
| Dec 31, 2023 | 7.93 Mn |
| Sep 30, 2023 | 7.96 Mn |
| Jun 30, 2023 | 8.65 Mn |
| Mar 31, 2023 | 8.25 Mn |
| Dec 31, 2022 | 8.37 Mn |
| Sep 30, 2022 | 7.94 Mn |
| Jun 30, 2022 | 9.20 Mn |
| Mar 31, 2022 | 10.15 Mn |
| Dec 31, 2021 | 8.18 Mn |
| Sep 30, 2021 | 8.37 Mn |
Sonoma Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=SNOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SNOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();