Lgl (LGL) Return on Sales [ROS] (2010 - 2026)
Lgl (LGL) posted Return on Sales [ROS] of -71.81% for Q2 2026, down 45.62 percentage points from -26.19% a year earlier but up 31.32 percentage points from the prior quarter.
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Analysis
Lgl (LGL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Lgl was -52.90%, down 36.53 percentage points year-over-year; for FY2025, it came in at -21.73%, down 13.62 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -26.27 percentage points (FY2020 to FY2025).
- In prior years, Lgl's Return on Sales [ROS] was -8.11% in FY2024 (-4.03 pp), -4.08% in FY2023 (+72.33 pp), -76.41% in FY2022 (+167.09 pp) and -243.50% in FY2021 (-248.04 pp).
- Quarterly Return on Sales [ROS] has run from a low of -525.91% in Q3 2021 to a high of 12.86% in Q4 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -27.03 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 495.27 percentage points; the weakest was Q3 2021, with a drop of 534.70 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -103.13% (Q1 2026), -22.64% (Q4 2025) and -17.33% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,142.97 Bn | 4,888.43 Bn | 54.82 Bn | 31.13% |
| 2 | Cisco Systems | 387.91 Bn | 323.84 Bn | 11.06 Bn | 24.72% |
| 3 | Arista Networks | 234.26 Bn | 183.47 Bn | 2.33 Bn | 44.90% |
| 4 | Dell Technologies | 224.59 Bn | 180.35 Bn | 9.83 Bn | 11.46% |
| 5 | Sony | 160.93 Bn | 95.47 Bn | 7.96 Bn | 18.15% |
| 6 | Sandisk | 129.00 Bn | 113.83 Bn | 9.38 Bn | 79.59% |
| 7 | Seagate Technology Holdings | 114.03 Bn | 108.88 Bn | 2.43 Bn | 48.76% |
| 8 | Western Digital | 104.12 Bn | 93.95 Bn | 2.53 Bn | 46.70% |
| 9 | Hewlett Packard Enterprise | 64.25 Bn | 42.13 Bn | 4.93 Bn | 11.41% |
| 10 | Lgl | 42.95 Mn | -132.05 Mn | 772,000.00 | -38.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.77% |
| Mar 31, 2026 | -72.35% |
| Dec 31, 2025 | 9.76% |
| Sep 30, 2025 | 10.83% |
| Jun 30, 2025 | -3.35% |
| Mar 31, 2025 | 4.47% |
| Dec 31, 2024 | 21.18% |
| Sep 30, 2024 | 11.70% |
| Jun 30, 2024 | 22.19% |
| Mar 31, 2024 | 8.90% |
| Dec 31, 2023 | 33.07% |
| Sep 30, 2023 | 20.35% |
| Jun 30, 2023 | -60.75% |
| Mar 31, 2023 | -31.40% |
| Dec 31, 2022 | -33.22% |
| Sep 30, 2022 | -30.64% |
| Jun 30, 2022 | -24.08% |
| Mar 31, 2022 | -184.53% |
| Dec 31, 2021 | -254.57% |
| Sep 30, 2021 | -525.91% |
API Access
Lgl 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=LGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LGL", "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=LGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();