Sangoma Technologies (SANG) EBITDA (2020 - 2026)
Sangoma Technologies (SANG) posted EBITDA of $20.91 million for the quarter ended Jun 30, 2026, down 29.7% from $29.74 million a year earlier and down 21.9% from the prior quarter.
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Analysis
Sangoma Technologies (SANG) EBITDA (2020 - 2026) Analysis & Trends
For the year ended Jun 30, 2026, Sangoma Technologies' EBITDA came in at $129.3 million, down 9.8% from the prior year.
- Annual EBITDA has declined for three consecutive years, though with a five-year compound annual growth rate of 33.8% (years ended Jun 2021 to Jun 2026).
- In prior years, Sangoma Technologies' EBITDA was $143.28 million in the year ended Jun 30, 2025 (-99.6%), $34.17 billion in the year ended Jun 30, 2024 (-0.8%), $34.46 billion in the year ended Jun 30, 2023 and $57.33 million in the year ended Jun 30, 2022 (+90.2%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly EBITDA since the quarter ended Mar 31, 2022.
- On a year-over-year basis, EBITDA has declined in each of the last 12 quarters, with an average decline of 21.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Dec 31, 2022, with growth of 409.8%; the weakest was the quarter ended Jun 30, 2025, with a decline of 99.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $26.76 million (quarter ended Mar 31, 2026), $27.7 million (quarter ended Dec 31, 2025) and $26.74 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.57 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 250.15 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 130.48 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 824.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 341.62 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -117.29 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 206.40 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 354.97 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 146.67 Mn |
| 10 | Sangoma Technologies | 119.69 Mn | 119.69 Mn | 32.27 Mn | 20.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.91 Mn |
| Mar 31, 2026 | 26.76 Mn |
| Dec 31, 2025 | 27.70 Mn |
| Sep 30, 2025 | 26.74 Mn |
| Jun 30, 2025 | 29.74 Mn |
| Mar 31, 2025 | 29.49 Mn |
| Dec 31, 2024 | 28.95 Mn |
| Sep 30, 2024 | 29.16 Mn |
| Jun 30, 2024 | 8.72 Bn |
| Mar 31, 2024 | 31.58 Mn |
| Dec 31, 2023 | 30.54 Mn |
| Sep 30, 2023 | 33.18 Mn |
| Jun 30, 2023 | 9.10 Bn |
| Mar 31, 2023 | 32.14 Mn |
| Dec 31, 2022 | 52.51 Mn |
| Sep 30, 2022 | 46.54 Mn |
| Jun 30, 2022 | 25.17 Mn |
| Mar 31, 2022 | 14.00 Mn |
| Dec 31, 2021 | 10.30 Mn |
| Sep 30, 2021 | 19.34 Mn |
API Access
Sangoma Technologies EBITDA 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=ebitda&ticker=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();