Watsco (WSO-B) Non Operating Interest Expenses (2009 - 2019)
Watsco (WSO-B) recorded Non Operating Interest Expenses of $1.21 million in Q2 2019, up 58.8% from $763,000 a year earlier.
Powered by 
Analysis
Watsco (WSO-B) Non Operating Interest Expenses (2009 - 2019) Analysis & Trends
On a TTM basis, Watsco's Non Operating Interest Expenses came in at $4.03 million as of Jun 30, 2019, up 5.9% year-over-year; for FY2015, it was $5.55 million, up 6.6% from FY2014.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 9.7% (FY2010 to FY2015).
- Across earlier years, Non Operating Interest Expenses came in at $5.21 million in FY2014 (-10.7%), $5.83 million in FY2013 (+25.0%), $4.67 million in FY2012 (+4.6%) and $4.46 million in FY2011 (+27.7%).
- The Q2 2019 figure is the highest quarterly Non Operating Interest Expenses since Q3 2015.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 58.8% in Q2 2019, against a decline of 35.3% in Q2 2016 at the low end.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 1.21 Mn |
| Jun 30, 2018 | 763,000.00 |
| Sep 30, 2016 | 996,000.00 |
| Jun 30, 2016 | 1.05 Mn |
| Mar 31, 2016 | 986,000.00 |
| Dec 31, 2015 | 1.02 Mn |
| Sep 30, 2015 | 1.52 Mn |
| Jun 30, 2015 | 1.63 Mn |
| Mar 31, 2015 | 1.38 Mn |
| Dec 31, 2014 | 1.42 Mn |
| Sep 30, 2014 | 1.53 Mn |
| Jun 30, 2014 | 1.25 Mn |
| Mar 31, 2014 | 1.01 Mn |
| Dec 31, 2013 | 1.18 Mn |
| Sep 30, 2013 | 1.78 Mn |
| Jun 30, 2013 | 1.69 Mn |
| Mar 31, 2013 | 1.18 Mn |
| Dec 31, 2012 | 1.24 Mn |
| Sep 30, 2012 | 1.19 Mn |
| Jun 30, 2012 | 1.35 Mn |
API Access
Watsco 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=WSO-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "WSO-B", "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=WSO-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();