Mays J W Inc (MAYS) Total Operating Expenses (2010 - 2026)
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Analysis
Mays J W Inc (MAYS) Total Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 5.64 Mn |
| Jan 31, 2026 | 5.92 Mn |
| Oct 31, 2025 | 5.74 Mn |
| Jul 31, 2025 | 5.79 Mn |
| Apr 30, 2025 | 5.52 Mn |
| Jan 31, 2025 | 5.83 Mn |
| Oct 31, 2024 | 5.49 Mn |
| Jul 31, 2024 | 5.57 Mn |
| Apr 30, 2024 | 5.52 Mn |
| Jan 31, 2024 | 5.74 Mn |
| Oct 31, 2023 | 5.38 Mn |
| Jul 31, 2023 | 5.52 Mn |
| Apr 30, 2023 | 5.59 Mn |
| Jan 31, 2023 | 5.79 Mn |
| Oct 31, 2022 | 5.45 Mn |
| Jul 31, 2022 | 5.56 Mn |
| Apr 30, 2022 | 5.47 Mn |
| Jan 31, 2022 | 5.54 Mn |
| Oct 31, 2021 | 5.49 Mn |
| Jul 31, 2021 | 5.08 Mn |
API Access
Mays J W Inc Total 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=total-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();