Mays J W Inc (MAYS) Interest Expense (in Operating Expenses) (2013 - 2026)
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Analysis
Mays J W Inc (MAYS) Interest Expense (in Operating Expenses) (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 62,678.00 |
| Apr 30, 2025 | 34,129.00 |
| Jan 31, 2024 | 56,282.00 |
| Jul 31, 2023 | 16,988.00 |
| Jan 31, 2023 | 71,668.00 |
| Jan 31, 2022 | 78,214.00 |
| Jul 31, 2021 | 11,434.00 |
| Apr 30, 2021 | 86,381.00 |
| Jan 31, 2021 | 82,159.00 |
| Jul 31, 2014 | 104,267.00 |
| Apr 30, 2014 | 107,059.00 |
| Jan 31, 2014 | 113,144.00 |
| Oct 31, 2013 | 98,545.00 |
| Jul 31, 2013 | 103,044.00 |
| Apr 30, 2013 | 99,171.00 |
| Jan 31, 2013 | 110,248.00 |
API Access
Mays J W Inc Interest Expense (in Operating 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-expense-in-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-in-operating-expenses", "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-in-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();