John Wiley & Sons (WLY) Operating Expenses (2009 - 2026)
John Wiley & Sons' Operating Expenses came in at $383.42 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 4.8% from $365.84 million a year earlier and up 13.5% from the prior quarter.
John Wiley & Sons (WLY) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, John Wiley & Sons reported Operating Expenses of $1.42 billion, down 2.1% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $1.4 billion, down 3.9% from FY2025.
- Operating Expenses has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -4.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $1.46 billion in FY2025 (-20.0%), $1.82 billion in FY2024 (-7.3%), $1.96 billion in FY2023 (+5.4%) and $1.86 billion in FY2022 (+6.1%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses since fiscal Q4 2024.
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 8.5%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2023 (growth of 18.8%), and the weakest in fiscal Q3 2025 (a decline of 30.4%).
- Business Quant data shows WLY's Operating Expenses at $337.8 million (Q4 2026), $347.28 million (Q3 2026) and $348.76 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 28.11 Bn | 13.92 Bn | - | 2.38 Bn |
| 3 | Omnicom | 22.23 Bn | 4.31 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 16.74 Bn | 8.22 Bn | - | 991.00 Mn |
| 5 | Pearson | 11.85 Bn | 8.96 Bn | - | - |
| 6 | New York Times | 11.03 Bn | 8.52 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Sirius Xm Holdings | 9.04 Bn | 8.62 Bn | 1.44 Bn | 1.69 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 | 383.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 383.42 Mn |
| Apr 30, 2026 | 337.80 Mn |
| Jan 31, 2026 | 347.28 Mn |
| Oct 31, 2025 | 348.76 Mn |
| Jul 31, 2025 | 365.84 Mn |
| Apr 30, 2025 | 366.11 Mn |
| Jan 31, 2025 | 352.80 Mn |
| Oct 31, 2024 | 362.46 Mn |
| Jul 31, 2024 | 374.84 Mn |
| Apr 30, 2024 | 399.68 Mn |
| Jan 31, 2024 | 507.12 Mn |
| Oct 31, 2023 | 446.56 Mn |
| Apr 30, 2023 | 443.66 Mn |
| Jan 31, 2023 | 558.42 Mn |
| Oct 31, 2022 | 457.40 Mn |
| Jul 31, 2022 | 504.53 Mn |
| Apr 30, 2022 | 487.22 Mn |
| Jan 31, 2022 | 469.90 Mn |
| Oct 31, 2021 | 459.12 Mn |
| Jul 31, 2021 | 447.42 Mn |
John Wiley & Sons Operating 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=operating-expenses&ticker=WLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();