Value Line (VALU) Operating Expenses (2010 - 2026)
Value Line (VALU) reported Operating Expenses of $7.02 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 1.2% from $7.11 million a year earlier and down 12.1% from the prior quarter.
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Analysis
Value Line (VALU) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Value Line's Operating Expenses came in at $29.33 million, up 0.6% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $29.42 million, up 1.1% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -2.2% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $29.09 million in FY2025 (+2.6%), $28.35 million in FY2024 (+0.4%), $28.23 million in FY2023 (-5.0%) and $29.73 million in FY2022 (-9.5%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Operating Expenses since fiscal Q3 2024.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 1.7%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2024 (growth of 8.0%); the low point was fiscal Q4 2022 (a decline of 18.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $7.99 million (Q4 2026), $7.27 million (Q3 2026) and $7.04 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn | 8.48 Bn |
| 2 | Fox | 28.87 Bn | 14.68 Bn | - | 2.38 Bn |
| 3 | Omnicom | 22.69 Bn | 4.78 Bn | 1.30 Bn | 5.64 Bn |
| 4 | News | 17.02 Bn | 8.51 Bn | - | 991.00 Mn |
| 5 | Pearson | 11.88 Bn | 8.99 Bn | - | - |
| 6 | New York Times | 11.24 Bn | 8.72 Bn | 394.61 Mn | 644.44 Mn |
| 7 | Sirius Xm Holdings | 9.17 Bn | 8.75 Bn | 1.44 Bn | 1.69 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - | - |
| 9 | Wpp | 5.72 Bn | -6.32 Bn | - | - |
| 10 | Value Line | 396.34 Mn | 143.65 Mn | - | 7.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.02 Mn |
| Apr 30, 2026 | 7.99 Mn |
| Jan 31, 2026 | 7.27 Mn |
| Oct 31, 2025 | 7.04 Mn |
| Jul 31, 2025 | 7.11 Mn |
| Apr 30, 2025 | 7.56 Mn |
| Jan 31, 2025 | 7.40 Mn |
| Oct 31, 2024 | 7.10 Mn |
| Jul 31, 2024 | 7.04 Mn |
| Apr 30, 2024 | 7.52 Mn |
| Jan 31, 2024 | 6.90 Mn |
| Oct 31, 2023 | 6.94 Mn |
| Jul 31, 2023 | 7.00 Mn |
| Apr 30, 2023 | 6.96 Mn |
| Jan 31, 2023 | 6.98 Mn |
| Oct 31, 2022 | 6.89 Mn |
| Jul 31, 2022 | 7.39 Mn |
| Apr 30, 2022 | 7.21 Mn |
| Jan 31, 2022 | 7.38 Mn |
| Oct 31, 2021 | 7.24 Mn |
API Access
Value Line Operating Expenses 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=operating-expenses&ticker=VALU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VALU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();