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 | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Boxlight | 3.96 Mn | -28.42 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();