Scholastic (SCHL) Total Non-Current Liabilities (2009 - 2026)
Scholastic's Total Non-Current Liabilities was $485.9 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 9.1% from $445.2 million a year earlier and up 24.0% from the prior quarter.
Scholastic (SCHL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Total Non-Current Liabilities at Scholastic came in at $391.8 million, up 3.9% from FY2025.
- Total Non-Current Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 24.6% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $377.2 million in FY2025 (+218.6%), $118.4 million in FY2024 (+18.5%), $99.9 million in FY2023 (-2.7%) and $102.7 million in FY2022 (-21.3%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q1 2010.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 90.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q3 2025 (growth of 269.7%); the worst was fiscal Q2 2022 (a decline of 68.3%).
- Per Business Quant data, SCHL's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $391.8 million (Q4 2026), $287.8 million (Q3 2026) and $383.7 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 52.25 Bn |
| 2 | Fox | 28.87 Bn | 14.68 Bn | - | 9.36 Bn |
| 3 | Omnicom | 22.69 Bn | 4.78 Bn | 1.30 Bn | 38.39 Bn |
| 4 | News | 17.02 Bn | 8.51 Bn | - | 5.80 Bn |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | 2.20 Bn |
| 6 | New York Times | 11.24 Bn | 8.72 Bn | 394.61 Mn | 289.27 Mn |
| 7 | Sirius Xm Holdings | 9.17 Bn | 8.75 Bn | 1.44 Bn | 14.35 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | 26.64 Bn |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | 8.15 Bn |
| 10 | Scholastic | 731.34 Mn | 285.74 Mn | 98.70 Mn | 485.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 485.90 Mn |
| May 31, 2026 | 391.80 Mn |
| Feb 28, 2026 | 287.80 Mn |
| Nov 30, 2025 | 383.70 Mn |
| Aug 31, 2025 | 445.20 Mn |
| May 31, 2025 | 377.20 Mn |
| Feb 28, 2025 | 403.30 Mn |
| Nov 30, 2024 | 395.00 Mn |
| Aug 31, 2024 | 374.30 Mn |
| May 31, 2024 | 118.40 Mn |
| Feb 29, 2024 | 109.10 Mn |
| Nov 30, 2023 | 117.70 Mn |
| Aug 31, 2023 | 119.00 Mn |
| May 31, 2023 | 99.90 Mn |
| Feb 28, 2023 | 90.70 Mn |
| Nov 30, 2022 | 91.20 Mn |
| Aug 31, 2022 | 97.10 Mn |
| May 31, 2022 | 102.70 Mn |
| Feb 28, 2022 | 96.00 Mn |
| Nov 30, 2021 | 99.00 Mn |
Scholastic Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SCHL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SCHL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=SCHL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();