Mays J W Inc (MAYS) Interest Expense (2010 - 2024)
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Analysis
Mays J W Inc (MAYS) Interest Expense (2010 - 2024) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Apr 30, 2024 | 53,634.00 |
| Oct 31, 2023 | 41,570.00 |
| Apr 30, 2023 | 66,227.00 |
| Oct 31, 2022 | 62,663.00 |
| Jul 31, 2022 | 59,716.00 |
| Apr 30, 2022 | 33,615.00 |
| Oct 31, 2021 | 80,433.00 |
| Oct 31, 2012 | 113,862.00 |
| Jul 31, 2012 | 112,512.00 |
| Apr 30, 2012 | 120,323.00 |
| Jan 31, 2012 | 138,240.00 |
| Oct 31, 2011 | 151,689.00 |
| Jul 31, 2011 | 146,588.00 |
| Apr 30, 2011 | 159,360.00 |
| Jan 31, 2011 | 169,026.00 |
| Oct 31, 2010 | 177,856.00 |
API Access
Mays J W Inc Interest Expense 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-expense&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "ticker": "MAYS", "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-expense&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();