Sangoma Technologies (SANG) Return on Sales [ROS] (2020 - 2026)
Sangoma Technologies' Return on Sales [ROS] was 24.52% in the quarter ended Jun 30, 2026, down 11.82 percentage points from 36.34% a year earlier and down 10.71 percentage points from the prior quarter.
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Analysis
Sangoma Technologies (SANG) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the year ended Jun 30, 2026, Return on Sales [ROS] at Sangoma Technologies came in at 32.41%, down 0.31 percentage points from the prior year.
- Return on Sales [ROS] has now declined for three consecutive years, though with a five-year change of +27.84 percentage points (years ended Jun 2021 to Jun 2026).
- In earlier years, Return on Sales [ROS] was 32.72% in the year ended Jun 30, 2025 (-13025.15 pp), 13057.86% in the year ended Jun 30, 2024 (-585.13 pp), 13643.00% in the year ended Jun 30, 2023 (+13645.62 pp) and -2.62% in the year ended Jun 30, 2022 (-7.20 pp).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Return on Sales [ROS] since the quarter ended Jun 30, 2022.
- 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 -1696.99 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was the quarter ended Jun 30, 2023 (a gain of 13360.62 percentage points); the worst was the quarter ended Jun 30, 2025 (a drop of 13562.92 percentage points).
- Per Business Quant data, SANG's Return on Sales [ROS] in the three quarters before the quarter ended Jun 30, 2026 was 35.24% (quarter ended Mar 31, 2026), 36.71% (quarter ended Dec 31, 2025) and 34.80% (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 34.82% |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 11.93% |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 5.64% |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 29.28% |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | -31.69% |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 26.10% |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 14.88% |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 7.65% |
| 10 | Sangoma Technologies | 162.36 Mn | 162.36 Mn | 32.27 Mn | 24.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.52% |
| Mar 31, 2026 | 35.24% |
| Dec 31, 2025 | 36.71% |
| Sep 30, 2025 | 34.80% |
| Jun 30, 2025 | 36.34% |
| Mar 31, 2025 | 34.98% |
| Dec 31, 2024 | 33.41% |
| Sep 30, 2024 | 33.05% |
| Jun 30, 2024 | 13,599.26% |
| Mar 31, 2024 | 36.30% |
| Dec 31, 2023 | 33.93% |
| Sep 30, 2023 | 37.68% |
| Jun 30, 2023 | 13,382.95% |
| Mar 31, 2023 | 35.74% |
| Dec 31, 2022 | 68.90% |
| Sep 30, 2022 | 57.23% |
| Jun 30, 2022 | 22.34% |
| Mar 31, 2022 | 10.51% |
| Dec 31, 2021 | 3.57% |
| Sep 30, 2021 | 21.83% |
API Access
Sangoma Technologies 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=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SANG", "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=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();