Watsco (WSO-B) Interest Expenses (2009 - 2019)
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Analysis
Watsco (WSO-B) Interest Expenses (2009 - 2019) Analysis & Trends
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 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=interest-expenses&ticker=WSO-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=WSO-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();