John Wiley & Sons (WLY) Long-Term Debt Repayments (2009 - 2026)
John Wiley & Sons (WLY) recorded Long-Term Debt Repayments of $468.75 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 87.3% from $250.29 million a year earlier and up 21.2% from the prior quarter.
John Wiley & Sons (WLY) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, John Wiley & Sons' Long-Term Debt Repayments came in at $1.3 billion as of Jul 31, 2026, up 15.4% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $1.09 billion, down 8.5% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 14.0% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $1.19 billion in FY2025 (+2.5%), $1.16 billion in FY2024 (+10.8%), $1.04 billion in FY2023 (+57.8%) and $661.87 million in FY2022 (+17.6%).
- The fiscal Q1 2027 figure is the highest quarterly Long-Term Debt Repayments since fiscal Q4 2023.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last eight quarters, with growth averaging 10.3%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 258.2% in fiscal Q4 2022, against a decline of 44.6% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $386.65 million (Q4 2026), $273.72 million (Q3 2026) and $174.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 15.25 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 | 388.00 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 | 468.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 468.75 Mn |
| Apr 30, 2026 | 386.65 Mn |
| Jan 31, 2026 | 273.72 Mn |
| Oct 31, 2025 | 174.90 Mn |
| Jul 31, 2025 | 250.29 Mn |
| Apr 30, 2025 | 253.68 Mn |
| Jan 31, 2025 | 310.89 Mn |
| Oct 31, 2024 | 315.57 Mn |
| Jul 31, 2024 | 306.23 Mn |
| Apr 30, 2024 | 415.82 Mn |
| Jan 31, 2024 | 359.48 Mn |
| Oct 31, 2023 | 185.24 Mn |
| Jul 31, 2023 | 196.41 Mn |
| Apr 30, 2023 | 568.63 Mn |
| Jan 31, 2023 | 266.65 Mn |
| Oct 31, 2022 | 97.13 Mn |
| Jul 31, 2022 | 111.80 Mn |
| Apr 30, 2022 | 393.41 Mn |
| Jan 31, 2022 | 155.04 Mn |
| Oct 31, 2021 | 72.13 Mn |
John Wiley & Sons Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();