Sangoma Technologies (SANG) Operating Expenses (2020 - 2026)
Sangoma Technologies (SANG) reported Operating Expenses of $20.05 million for the quarter ended Jun 30, 2026, up 8.5% from $18.47 million a year earlier and up 9.0% from the prior quarter.
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Analysis
Sangoma Technologies (SANG) Operating Expenses (2020 - 2026) Analysis & Trends
For the year ended Jun 30, 2026, Sangoma Technologies posted Operating Expenses of $75.82 million, down 10.1% from the prior year.
- Operating Expenses has a five-year compound annual growth rate of -1.9% (years ended Jun 2021 to Jun 2026).
- By year, Operating Expenses came in at $84.31 million in the year ended Jun 30, 2025 (-97.9%), $3.99 billion in the year ended Jun 30, 2024 (+118.5%), $1.83 billion in the year ended Jun 30, 2023 and $162.77 million in the year ended Jun 30, 2022 (+95.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Operating Expenses since the quarter ended Dec 31, 2024.
- Year over year, Operating Expenses gained in two of the last eight quarters, with an average decline of 15.3%.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Dec 31, 2021 (growth of 252.2%); the low point was the quarter ended Dec 31, 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $18.39 million (quarter ended Mar 31, 2026), $19.36 million (quarter ended Dec 31, 2025) and $19.12 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Sangoma Technologies | 163.69 Mn | 163.69 Mn | 32.27 Mn | 20.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.05 Mn |
| Mar 31, 2026 | 18.39 Mn |
| Dec 31, 2025 | 19.36 Mn |
| Sep 30, 2025 | 19.12 Mn |
| Jun 30, 2025 | 18.47 Mn |
| Mar 31, 2025 | 19.73 Mn |
| Dec 31, 2024 | 20.74 Mn |
| Sep 30, 2024 | 21.30 Mn |
| Jun 30, 2024 | 862.00 Mn |
| Mar 31, 2024 | 20.84 Mn |
| Dec 31, 2023 | 22.86 Mn |
| Sep 30, 2023 | 20.28 Mn |
| Jun 30, 2023 | 808.72 Mn |
| Mar 31, 2023 | 21.99 Mn |
| Dec 31, 2022 | 45,714.00 |
| Sep 30, 2022 | 6.68 Mn |
| Jun 30, 2022 | 29.65 Mn |
| Mar 31, 2022 | 31.59 Mn |
| Dec 31, 2021 | 41.92 Mn |
| Sep 30, 2021 | 25.63 Mn |
API Access
Sangoma Technologies Operating Expenses 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=operating-expenses&ticker=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();