John Wiley & Sons (WLY) Accumulated Expenses (2009 - 2012)
John Wiley & Sons' Accumulated Expenses was $60.66 million in fiscal Q4 2012 (quarter ended Apr 30, 2012), up 4.9% from $57.85 million a year earlier.
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Analysis
John Wiley & Sons (WLY) Accumulated Expenses (2009 - 2012) Analysis & Trends
From fiscal Q1 2010 onward, John Wiley & Sons has reported Accumulated Expenses for 10 quarters.
- In earlier fiscal years, Accumulated Expenses was $57.85 million in FY2011 (-9.0%) and $63.58 million in FY2010.
- The fiscal Q4 2012 figure marks the highest quarterly Accumulated Expenses since fiscal Q4 2010.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last six quarters, with an average decline of 5.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn |
| 2 | Fox | 28.11 Bn | 13.92 Bn | - |
| 3 | Omnicom | 22.23 Bn | 4.31 Bn | 1.30 Bn |
| 4 | News | 16.74 Bn | 8.22 Bn | - |
| 5 | Pearson | 11.85 Bn | 8.96 Bn | - |
| 6 | New York Times | 11.03 Bn | 8.52 Bn | 394.61 Mn |
| 7 | Sirius Xm Holdings | 9.04 Bn | 8.62 Bn | 1.44 Bn |
| 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 |
|---|---|
| Apr 30, 2012 | 60.66 Mn |
| Jul 31, 2011 | 51.68 Mn |
| Apr 30, 2011 | 57.85 Mn |
| Jan 31, 2011 | 48.85 Mn |
| Oct 31, 2010 | 50.30 Mn |
| Jul 31, 2010 | 55.45 Mn |
| Apr 30, 2010 | 63.58 Mn |
| Jan 31, 2010 | 57.36 Mn |
| Oct 31, 2009 | 57.33 Mn |
| Jul 31, 2009 | 51.28 Mn |
API Access
John Wiley & Sons Accumulated 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=accumulated-expenses&ticker=WLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();