Value Line (VALU) Return on Sales [ROS] (2010 - 2026)
Value Line (VALU) recorded Return on Sales [ROS] of 12.76% in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 4.63 percentage points from 17.38% a year earlier but up 12.52 percentage points from the prior quarter.
Value Line (VALU) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Value Line's Return on Sales [ROS] came in at 10.83% as of Jul 31, 2026, down 5.36 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 12.05%, down 5.01 percentage points from FY2025.
- Annual Return on Sales [ROS] has declined for three straight fiscal years, with a five-year change of -6.60 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 17.06% in FY2025 (-7.32 pp), 24.38% in FY2024 (-4.51 pp), 28.90% in FY2023 (+2.25 pp) and 26.65% in FY2022 (+8.00 pp).
- Quarterly Return on Sales [ROS] has ranged from 0.24% in fiscal Q4 2026 to 31.52% in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for 12 consecutive quarters, with an average year-over-year change of -5.85 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 20.24 percentage points in fiscal Q4 2022, against a drop of 11.84 percentage points in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.24% (Q4 2026), 12.13% (Q3 2026) and 17.67% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.60 Bn | 63.26 Bn | 4.10 Bn | 2.72% |
| 2 | Fox | 26.84 Bn | 12.75 Bn | - | 21.87% |
| 3 | Omnicom | 20.35 Bn | 3.05 Bn | 1.30 Bn | 14.06% |
| 4 | News | 15.97 Bn | 8.16 Bn | - | 11.90% |
| 5 | Paramount Skydance | 10.53 Bn | 8.45 Bn | - | - |
| 6 | Pearson | 10.25 Bn | 7.39 Bn | - | - |
| 7 | New York Times | 10.06 Bn | 7.55 Bn | 394.61 Mn | 15.48% |
| 8 | Sirius Xm Holdings | 8.67 Bn | 8.25 Bn | 1.44 Bn | 21.85% |
| 9 | 36Kr Holdings | 5.97 Bn | 5.91 Bn | - | - |
| 10 | Value Line | 379.97 Mn | 127.28 Mn | - | 12.76% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 12.76% |
| Apr 30, 2026 | 0.24% |
| Jan 31, 2026 | 12.13% |
| Oct 31, 2025 | 17.67% |
| Jul 31, 2025 | 17.38% |
| Apr 30, 2025 | 9.90% |
| Jan 31, 2025 | 17.44% |
| Oct 31, 2024 | 19.73% |
| Jul 31, 2024 | 20.79% |
| Apr 30, 2024 | 16.53% |
| Jan 31, 2024 | 24.44% |
| Oct 31, 2023 | 27.83% |
| Jul 31, 2023 | 28.19% |
| Apr 30, 2023 | 28.37% |
| Jan 31, 2023 | 29.94% |
| Oct 31, 2022 | 31.52% |
| Jul 31, 2022 | 25.70% |
| Apr 30, 2022 | 28.86% |
| Jan 31, 2022 | 28.03% |
| Oct 31, 2021 | 27.44% |
Value Line Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VALU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VALU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();