Lase (LASE) Return on Sales [ROS] (2020 - 2026)
Laser Photonics' Return on Sales [ROS] came in at -132.22% for Q2 2026, down 95.18 percentage points from -37.04% a year earlier but up 170.96 percentage points from the prior quarter.
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Analysis
Lase (LASE) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Laser Photonics reported Return on Sales [ROS] of -257.85%, down 149.48 percentage points year-over-year; for FY2025, it was -159.34%, up 29.91 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -159.83 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -189.25% in FY2024 (-104.26 pp), -84.99% in FY2023 (-31.85 pp), -53.14% in FY2022 (-67.72 pp) and 14.58% in FY2021 (+14.09 pp).
- The five-year range for quarterly Return on Sales [ROS] is -2857.03% (Q4 2022) to 31.44% (Q1 2022).
- Year-over-year, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -92.38 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 2804.66 percentage points), and the weakest in Q4 2022 (a drop of 2851.06 percentage points).
- Business Quant data shows LASE's Return on Sales [ROS] at -303.18% (Q1 2026), -297.60% (Q4 2025) and -349.98% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Lase | 22.82 Mn | 14.76 Mn | 152,473.00 | -132.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -132.22% |
| Mar 31, 2026 | -303.18% |
| Dec 31, 2025 | -297.60% |
| Sep 30, 2025 | -349.98% |
| Jun 30, 2025 | -37.04% |
| Mar 31, 2025 | -68.66% |
| Dec 31, 2024 | -246.04% |
| Sep 30, 2024 | -238.02% |
| Jun 30, 2024 | -149.42% |
| Mar 31, 2024 | -73.82% |
| Dec 31, 2023 | -52.36% |
| Sep 30, 2023 | -68.36% |
| Jun 30, 2023 | -70.25% |
| Mar 31, 2023 | -133.10% |
| Dec 31, 2022 | -2,857.03% |
| Sep 30, 2022 | 17.57% |
| Jun 30, 2022 | 24.62% |
| Mar 31, 2022 | 31.44% |
| Dec 31, 2021 | -5.96% |
| Sep 30, 2021 | 24.28% |
API Access
Lase 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=LASE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LASE", "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=LASE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();