John Wiley & Sons (WLY) Change in Accured Expenses (2018 - 2019)
John Wiley & Sons (WLY) recorded Change in Accured Expenses of -$1.21 million in fiscal Q2 2020 (quarter ended Oct 31, 2019), compared with -$4.01 million a year earlier.
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Analysis
John Wiley & Sons (WLY) Change in Accured Expenses (2018 - 2019) Analysis & Trends
On a TTM basis, John Wiley & Sons' Change in Accured Expenses came in at -$89.05 million as of Oct 31, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 200.00 Mn |
| 2 | Fox | 28.11 Bn | 13.92 Bn | - | 292.00 Mn |
| 3 | Omnicom | 22.23 Bn | 4.31 Bn | 1.30 Bn | - |
| 4 | News | 16.74 Bn | 8.22 Bn | - | 49.00 Mn |
| 5 | Pearson | 11.85 Bn | 8.96 Bn | - | - |
| 6 | New York Times | 11.03 Bn | 8.52 Bn | 394.61 Mn | 56.83 Mn |
| 7 | Sirius Xm Holdings | 9.04 Bn | 8.62 Bn | 1.44 Bn | 153.00 Mn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | - |
| 9 | Wpp | 5.74 Bn | -6.31 Bn | - | - |
| 10 | John Wiley & Sons | 2.63 Bn | 2.29 Bn | 285.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2019 | -1.21 Mn |
| Jul 31, 2019 | -33.40 Mn |
| Oct 31, 2018 | -4.01 Mn |
| Jul 31, 2018 | -50.42 Mn |
API Access
John Wiley & Sons Change in Accured 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=change-in-accured-expenses&ticker=WLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "WLY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=WLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();