John Wiley & Sons (WLY) Retained Earnings (2009 - 2026)
John Wiley & Sons (WLY) posted Retained Earnings of $1.71 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.9% from $1.58 billion a year earlier but down 1.7% from the prior quarter.
John Wiley & Sons (WLY) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), John Wiley & Sons' Retained Earnings came in at $1.74 billion, up 9.2% from FY2025.
- Annual Retained Earnings shows a five-year compound annual growth rate of -1.2% (FY2021 to FY2026).
- In prior fiscal years, John Wiley & Sons' Retained Earnings was $1.59 billion in FY2025 (+0.5%), $1.58 billion in FY2024 (-14.9%), $1.86 billion in FY2023 (-3.1%) and $1.92 billion in FY2022 (+3.8%).
- Quarterly Retained Earnings has run from a low of $1.54 billion in fiscal Q3 2025 to a high of $1.92 billion in fiscal Q4 2022 over five years.
- On a year-over-year basis, Retained Earnings has increased in each of the last six quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q4 2026, with growth of 9.2%; the weakest was fiscal Q4 2024, with a decline of 14.9%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $1.74 billion (Q4 2026), $1.62 billion (Q3 2026) and $1.61 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | -14.28 Bn |
| 2 | Fox | 28.11 Bn | 13.92 Bn | - | 4.46 Bn |
| 3 | Omnicom | 22.23 Bn | 4.31 Bn | 1.30 Bn | 11.32 Bn |
| 4 | News | 16.74 Bn | 8.22 Bn | - | -312.00 Mn |
| 5 | Pearson | 11.85 Bn | 8.96 Bn | - | 847.09 Mn |
| 6 | New York Times | 11.03 Bn | 8.52 Bn | 394.61 Mn | 2.66 Bn |
| 7 | Sirius Xm Holdings | 9.04 Bn | 8.62 Bn | 1.44 Bn | 11.92 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | -1.75 Bn |
| 9 | Wpp | 5.74 Bn | -6.31 Bn | - | 2.83 Bn |
| 10 | John Wiley & Sons | 2.63 Bn | 2.29 Bn | 285.49 Mn | 1.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.71 Bn |
| Apr 30, 2026 | 1.74 Bn |
| Jan 31, 2026 | 1.62 Bn |
| Oct 31, 2025 | 1.61 Bn |
| Jul 31, 2025 | 1.58 Bn |
| Apr 30, 2025 | 1.59 Bn |
| Jan 31, 2025 | 1.54 Bn |
| Oct 31, 2024 | 1.58 Bn |
| Jul 31, 2024 | 1.56 Bn |
| Apr 30, 2024 | 1.58 Bn |
| Jan 31, 2024 | 1.58 Bn |
| Oct 31, 2023 | 1.71 Bn |
| Jul 31, 2023 | 1.75 Bn |
| Apr 30, 2023 | 1.86 Bn |
| Jan 31, 2023 | 1.81 Bn |
| Oct 31, 2022 | 1.90 Bn |
| Jul 31, 2022 | 1.88 Bn |
| Apr 30, 2022 | 1.92 Bn |
| Jan 31, 2022 | 1.90 Bn |
| Oct 31, 2021 | 1.88 Bn |
John Wiley & Sons Retained Earnings 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=retained-earnings&ticker=WLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();