John Wiley & Sons (WLY) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
John Wiley & Sons (WLY) posted Non-Current Debt of $1.28 billion for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 56.1% from $818.27 million a year earlier and up 90.4% from the prior quarter.
John Wiley & Sons (WLY) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), John Wiley & Sons' Non-Current Debt came in at $670.9 million, down 15.0% from FY2025.
- Annual Non-Current Debt shows a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- In prior fiscal years, John Wiley & Sons' Non-Current Debt was $789.44 million in FY2025 (+2.9%), $767.1 million in FY2024 (+3.2%), $743.29 million in FY2023 (-3.3%) and $768.28 million in FY2022 (-5.0%).
- The fiscal Q1 2027 figure stands as the highest quarterly Non-Current Debt in data going back to fiscal Q1 2010.
- On a year-over-year basis, Non-Current Debt increased in three of the last eight quarters, with growth averaging 1.8%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was fiscal Q1 2027, with growth of 56.1%; the weakest was fiscal Q4 2026, with a decline of 15.0%.
- According to Business Quant data, Non-Current Debt for the three prior fiscal quarters was $670.9 million (Q4 2026), $796.29 million (Q3 2026) and $861.71 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Fox | 28.10 Bn | 13.74 Bn | - | - |
| 2 | Omnicom | 23.64 Bn | 5.34 Bn | 1.36 Bn | - |
| 3 | News | 14.69 Bn | 6.18 Bn | - | - |
| 4 | Pearson | 11.24 Bn | 8.35 Bn | - | - |
| 5 | New York Times | 11.02 Bn | 8.45 Bn | 395.07 Mn | - |
| 6 | Sirius Xm Holdings | 10.92 Bn | 10.37 Bn | 1.43 Bn | -2.00 Mn |
| 7 | Skydance | 8.84 Bn | 8.84 Bn | - | - |
| 8 | Wpp | 5.88 Bn | -6.17 Bn | - | - |
| 9 | Nexstar Media | 5.86 Bn | 4.48 Bn | 1.20 Bn | -349.00 Mn |
| 10 | John Wiley & Sons | 2.55 Bn | 2.21 Bn | 285.49 Mn | 609.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 609.07 Mn |
| Apr 30, 2026 | -121.38 Mn |
| Jan 31, 2026 | -74.41 Mn |
| Oct 31, 2025 | 44.91 Mn |
| Jul 31, 2025 | 30.59 Mn |
| Apr 30, 2025 | -100.81 Mn |
| Jan 31, 2025 | -69.75 Mn |
| Oct 31, 2024 | 40.32 Mn |
| Jul 31, 2024 | 143.75 Mn |
| Apr 30, 2024 | -130.91 Mn |
| Jan 31, 2024 | -39.55 Mn |
| Oct 31, 2023 | 52.76 Mn |
| Jul 31, 2023 | 145.47 Mn |
| Apr 30, 2023 | -201.24 Mn |
| Jan 31, 2023 | -66.08 Mn |
| Oct 31, 2022 | 71.51 Mn |
| Jul 31, 2022 | 156.87 Mn |
| Apr 30, 2022 | -116.33 Mn |
| Jan 31, 2022 | -122.14 Mn |
| Oct 31, 2021 | 84.77 Mn |
John Wiley & Sons Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=WLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=WLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();