Value Line (VALU) Total Liabilities (2011 - 2026)
Value Line (VALU) reported Total Liabilities of $43.5 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 3.7% from $45.17 million a year earlier and down 1.2% from the prior quarter.
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Analysis
Value Line (VALU) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Value Line posted Total Liabilities of $44.03 million, down 1.8% from FY2025.
- Total Liabilities has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $44.86 million in FY2025 (-0.9%), $45.24 million in FY2024 (-4.6%), $47.4 million in FY2023 (-3.5%) and $49.1 million in FY2022 (-9.3%).
- Five-year quarterly Total Liabilities spans a low of $42.45 million in fiscal Q2 2026 and a high of $50.35 million in fiscal Q3 2022.
- Year over year, Total Liabilities has now declined in each of the last four quarters, with an average decline of 1.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2026 (growth of 1.0%); the low point was fiscal Q1 2023 (a decline of 9.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $44.03 million (Q4 2026), $43.2 million (Q3 2026) and $42.45 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 63.25 Bn |
| 2 | Fox | 28.58 Bn | 14.39 Bn | - | 10.75 Bn |
| 3 | Omnicom | 22.72 Bn | 4.81 Bn | 1.30 Bn | 39.63 Bn |
| 4 | News | 17.10 Bn | 8.58 Bn | - | 6.31 Bn |
| 5 | Pearson | 11.83 Bn | 8.94 Bn | - | 3.76 Bn |
| 6 | New York Times | 11.21 Bn | 8.70 Bn | 394.61 Mn | 936.99 Mn |
| 7 | Sirius Xm Holdings | 9.12 Bn | 8.70 Bn | 1.44 Bn | 15.28 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | 30.46 Bn |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | 27.55 Bn |
| 10 | Value Line | 390.01 Mn | 137.32 Mn | - | 43.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 43.50 Mn |
| Apr 30, 2026 | 44.03 Mn |
| Jan 31, 2026 | 43.20 Mn |
| Oct 31, 2025 | 42.45 Mn |
| Jul 31, 2025 | 45.17 Mn |
| Apr 30, 2025 | 44.86 Mn |
| Jan 31, 2025 | 44.61 Mn |
| Oct 31, 2024 | 43.28 Mn |
| Jul 31, 2024 | 44.70 Mn |
| Apr 30, 2024 | 45.24 Mn |
| Jan 31, 2024 | 45.30 Mn |
| Oct 31, 2023 | 44.60 Mn |
| Jul 31, 2023 | 46.82 Mn |
| Apr 30, 2023 | 47.40 Mn |
| Jan 31, 2023 | 47.10 Mn |
| Oct 31, 2022 | 47.65 Mn |
| Jul 31, 2022 | 48.04 Mn |
| Apr 30, 2022 | 49.10 Mn |
| Jan 31, 2022 | 50.35 Mn |
| Oct 31, 2021 | 48.00 Mn |
API Access
Value Line Total 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-liabilities&ticker=VALU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "VALU", "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-liabilities&ticker=VALU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();