Mays J W Inc (MAYS) Income before Taxes (2010 - 2026)
Analysis
Mays J W Inc (MAYS) Income before Taxes (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -308,863.00 |
| Jan 31, 2026 | -715,960.00 |
| Oct 31, 2025 | -479,027.00 |
| Jul 31, 2025 | -134,000.00 |
| Apr 30, 2025 | 109,784.00 |
| Jan 31, 2025 | -203,681.00 |
| Oct 31, 2024 | 32,657.00 |
| Jul 31, 2024 | -6,085.00 |
| Apr 30, 2024 | -195,880.00 |
| Jan 31, 2024 | -94,059.00 |
| Oct 31, 2023 | -247,544.00 |
| Jul 31, 2023 | -221,059.00 |
| Apr 30, 2023 | -58,160.00 |
| Jan 31, 2023 | 59,738.00 |
| Oct 31, 2022 | 74,517.00 |
| Jul 31, 2022 | -120,754.00 |
| Apr 30, 2022 | -74,037.00 |
| Jan 31, 2022 | -274,830.00 |
| Oct 31, 2021 | -532,750.00 |
| Jul 31, 2021 | 973,484.00 |
API Access
Mays J W Inc Income before Taxes 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=income-before-taxes&ticker=MAYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-before-taxes", "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=income-before-taxes&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();