Mays J W Inc (MAYS) Depreciation and Amortization (2010 - 2026)
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Analysis
Mays J W Inc (MAYS) Depreciation and Amortization (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 471,707.00 |
| Jan 31, 2026 | 470,677.00 |
| Oct 31, 2025 | 472,262.00 |
| Jul 31, 2025 | 453,390.00 |
| Apr 30, 2025 | 457,285.00 |
| Jan 31, 2025 | 445,274.00 |
| Oct 31, 2024 | 444,066.00 |
| Jul 31, 2024 | 438,554.00 |
| Apr 30, 2024 | 429,215.00 |
| Jan 31, 2024 | 429,258.00 |
| Oct 31, 2023 | 428,264.00 |
| Jul 31, 2023 | 425,038.00 |
| Apr 30, 2023 | 422,208.00 |
| Jan 31, 2023 | 422,815.00 |
| Oct 31, 2022 | 418,496.00 |
| Jul 31, 2022 | 416,918.00 |
| Apr 30, 2022 | 421,858.00 |
| Jan 31, 2022 | 452,412.00 |
| Oct 31, 2021 | 451,270.00 |
| Jul 31, 2021 | 450,200.00 |
API Access
Mays J W Inc Depreciation and Amortization 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=depreciation-and-amortization&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();