Boxlight (BOXL) Return on Sales [ROS] (2016 - 2026)
Boxlight's Return on Sales [ROS] was 4.00% in Q2 2026, up 16.68 percentage points from -12.68% a year earlier and up 25.85 percentage points from the prior quarter.
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Analysis
Boxlight (BOXL) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boxlight's Return on Sales [ROS] was -12.86% through Jun 30, 2026, up 8.19 percentage points year-over-year; for FY2025, it came in at -14.99%, down 0.66 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +8.16 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -14.33% in FY2024 (+0.55 pp), -14.88% in FY2023 (-16.26 pp), 1.37% in FY2022 (+2.76 pp) and -1.39% in FY2021 (+21.76 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q2 2023.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of +2.54 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 46.56 percentage points); the worst was Q4 2023 (a drop of 40.80 percentage points).
- Per Business Quant data, BOXL's Return on Sales [ROS] in the three quarters before Q2 2026 was -21.85% (Q1 2026), -21.06% (Q4 2025) and -13.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.47 Bn | 21.72 Bn | 695.95 Mn | 29.64% |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn | 14.69% |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn | 0.96% |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn | - |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn | 8.33% |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn | 26.45% |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn | 7.83% |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn | 29.09% |
| 10 | Boxlight | 1.58 Mn | -30.81 Mn | 12.91 Mn | 4.00% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.00% |
| Mar 31, 2026 | -21.85% |
| Dec 31, 2025 | -21.06% |
| Sep 30, 2025 | -13.44% |
| Jun 30, 2025 | -12.68% |
| Mar 31, 2025 | -12.97% |
| Dec 31, 2024 | -67.63% |
| Sep 30, 2024 | -2.37% |
| Jun 30, 2024 | 3.17% |
| Mar 31, 2024 | -9.72% |
| Dec 31, 2023 | -42.76% |
| Sep 30, 2023 | -23.35% |
| Jun 30, 2023 | 4.41% |
| Mar 31, 2023 | -0.44% |
| Dec 31, 2022 | -1.97% |
| Sep 30, 2022 | 9.40% |
| Jun 30, 2022 | 1.48% |
| Mar 31, 2022 | -6.83% |
| Dec 31, 2021 | -12.73% |
| Sep 30, 2021 | 5.75% |
API Access
Boxlight 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=BOXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BOXL", "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=BOXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();