Sonoma Pharmaceuticals (SNOA) Non Operating Interest Expenses (2010 - 2021)
Sonoma Pharmaceuticals' Non Operating Interest Expenses was $1,000 in fiscal Q1 2022 (quarter ended Jun 30, 2021).
Sonoma Pharmaceuticals (SNOA) Non Operating Interest Expenses (2010 - 2021) Analysis & Trends
On a trailing twelve-month basis, Sonoma Pharmaceuticals' Non Operating Interest Expenses was $10,000 through Jun 30, 2021, up 66.7% year-over-year; for FY2021 (ended Mar 31, 2021), it was $12,000, down 25.0% from FY2020.
- Non Operating Interest Expenses has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 32.0% (FY2016 to FY2021).
- In earlier fiscal years, Non Operating Interest Expenses was $16,000 in FY2020 (-51.5%), $33,000 in FY2019 (-17.5%), $40,000 in FY2018 and $3,000 in FY2017 (unchanged).
- Quarterly Non Operating Interest Expenses has moved between $1,000 (fiscal Q2 2017) and $12,000 (fiscal Q1 2019) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last five quarters, with growth averaging 57.1%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q2 2018 (growth of 900.0%); the worst was fiscal Q3 2020 (a decline of 85.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Sonoma Pharmaceuticals | 4.92 Mn | -8.41 Mn | 2.58 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 1,000.00 |
| Dec 31, 2020 | 5,000.00 |
| Sep 30, 2020 | 4,000.00 |
| Mar 31, 2020 | 3,000.00 |
| Dec 31, 2019 | 1,000.00 |
| Sep 30, 2019 | 2,000.00 |
| Jun 30, 2019 | 10,000.00 |
| Mar 31, 2019 | 7,000.00 |
| Dec 31, 2018 | 7,000.00 |
| Sep 30, 2018 | 7,000.00 |
| Jun 30, 2018 | 12,000.00 |
| Mar 31, 2018 | 9,000.00 |
| Dec 31, 2017 | 11,000.00 |
| Sep 30, 2017 | 10,000.00 |
| Jun 30, 2017 | 10,000.00 |
| Mar 31, 2017 | 1,000.00 |
| Sep 30, 2016 | 1,000.00 |
| Jun 30, 2016 | 1,000.00 |
| Mar 31, 2016 | 2,000.00 |
| Sep 30, 2015 | 1,000.00 |
Sonoma Pharmaceuticals Non Operating Interest 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=non-operating-interest-expenses&ticker=SNOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=SNOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();