Mays J W Inc (MAYS) Other non-cash items (2020 - 2026)
Analysis
Mays J W Inc (MAYS) Other non-cash items (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 145,354.00 |
| Jan 31, 2026 | 160,643.00 |
| Oct 31, 2025 | 164,894.00 |
| Jul 31, 2025 | 236,794.00 |
| Apr 30, 2025 | 201,982.00 |
| Jan 31, 2025 | 217,541.00 |
| Oct 31, 2024 | 209,757.00 |
| Jul 31, 2024 | 223,537.00 |
| Apr 30, 2024 | 205,417.00 |
| Jan 31, 2024 | 212,701.00 |
| Oct 31, 2023 | 180,201.00 |
| Jul 31, 2023 | 127,790.00 |
| Apr 30, 2023 | 275,872.00 |
| Jan 31, 2023 | 368,220.00 |
| Oct 31, 2022 | 249,111.00 |
| Jul 31, 2022 | 442,555.00 |
| Apr 30, 2022 | 297,923.00 |
| Jan 31, 2022 | 316,384.00 |
| Oct 31, 2021 | 513,102.00 |
| Jul 31, 2021 | -390,230.00 |
API Access
Mays J W Inc Other non-cash items 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=other-non-cash-items&ticker=MAYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();