Sangoma Technologies (SANG) Other Operating Expenses (2020 - 2026)
Sangoma Technologies' Other Operating Expenses was $11.92 million in the quarter ended Jun 30, 2026, down 7.4% from $12.87 million a year earlier and down 4.4% from the prior quarter.
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Analysis
Sangoma Technologies (SANG) Other Operating Expenses (2020 - 2026) Analysis & Trends
For the year ended Jun 30, 2026, Other Operating Expenses at Sangoma Technologies came in at $48.87 million, down 4.1% from the prior year.
- Other Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 14.7% (years ended Jun 2021 to Jun 2026).
- In earlier years, Other Operating Expenses was $50.97 million in the year ended Jun 30, 2025 (-11.9%), $57.84 million in the year ended Jun 30, 2024 (-6.6%), $61.92 million in the year ended Jun 30, 2023 (+16.7%) and $53.06 million in the year ended Jun 30, 2022 (+115.5%).
- Quarterly Other Operating Expenses has moved between $11.73 million (the quarter ended Sep 30, 2025) and $16.52 million (the quarter ended Sep 30, 2023) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in 1 of the last eight quarters, with an average decline of 7.6%.
- The best year-over-year quarter for Other Operating Expenses over five years was the quarter ended Dec 31, 2021 (growth of 219.3%); the worst was the quarter ended Sep 30, 2024 (a decline of 24.0%).
- Per Business Quant data, SANG's Other Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $12.47 million (quarter ended Mar 31, 2026), $12.75 million (quarter ended Dec 31, 2025) and $11.73 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Sangoma Technologies | 163.69 Mn | 163.69 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.92 Mn |
| Mar 31, 2026 | 12.47 Mn |
| Dec 31, 2025 | 12.75 Mn |
| Sep 30, 2025 | 11.73 Mn |
| Jun 30, 2025 | 12.87 Mn |
| Mar 31, 2025 | 12.95 Mn |
| Dec 31, 2024 | 12.60 Mn |
| Sep 30, 2024 | 12.56 Mn |
| Jun 30, 2024 | 13.02 Mn |
| Mar 31, 2024 | 13.65 Mn |
| Dec 31, 2023 | 14.65 Mn |
| Sep 30, 2023 | 16.52 Mn |
| Mar 31, 2023 | 14.99 Mn |
| Dec 31, 2022 | 15.61 Mn |
| Sep 30, 2022 | 15.65 Mn |
| Jun 30, 2022 | 15.63 Mn |
| Mar 31, 2022 | 12.12 Mn |
| Dec 31, 2021 | 13.20 Mn |
| Sep 30, 2021 | 12.11 Mn |
| Jun 30, 2021 | 12.15 Mn |
API Access
Sangoma Technologies Other 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=other-operating-expenses&ticker=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();