Sangoma Technologies (SANG) Restructuring Costs (2020 - 2026)
Sangoma Technologies (SANG) posted Restructuring Costs of $1.45 million for the quarter ended Jun 30, 2026, up 224.2% from $447,000 a year earlier and up 308.2% from the prior quarter.
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Analysis
Sangoma Technologies (SANG) Restructuring Costs (2020 - 2026) Analysis & Trends
For the year ended Jun 30, 2026, Sangoma Technologies' Restructuring Costs came in at $2.51 million, up 160.8% from the prior year.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -8.4% (years ended Jun 2021 to Jun 2026).
- In prior years, Sangoma Technologies' Restructuring Costs was $961,000 in the year ended Jun 30, 2025 (-39.8%), $1.6 million in the year ended Jun 30, 2024 (-41.1%), $2.71 million in the year ended Jun 30, 2023 (-7.8%) and $2.94 million in the year ended Jun 30, 2022 (-24.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Restructuring Costs since the quarter ended Jun 30, 2023.
- On a year-over-year basis, Restructuring Costs increased in three of the last five quarters, with growth averaging 91.2%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was the quarter ended Jun 30, 2025, with growth of 325.7%; the weakest was the quarter ended Jun 30, 2024, with a decline of 99.9%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $355,000 (quarter ended Mar 31, 2026), $139,000 (quarter ended Dec 31, 2025) and $563,000 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 101.14 Bn | 76.39 Bn | 6.00 Bn |
| 2 | Atlassian | 57.46 Bn | 50.74 Bn | 1.53 Bn |
| 3 | Autodesk | 51.51 Bn | 39.54 Bn | 1.87 Bn |
| 4 | Twilio | 39.51 Bn | 29.58 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.54 Bn | -2.25 Bn | 985.50 Mn |
| 6 | Figma | 11.99 Bn | 5.50 Bn | 309.61 Mn |
| 7 | Dropbox | 8.17 Bn | 3.81 Bn | 506.50 Mn |
| 8 | Nice | 7.13 Bn | 5.60 Bn | 995.81 Mn |
| 9 | RingCentral | 6.87 Bn | 6.36 Bn | 472.31 Mn |
| 10 | Sangoma Technologies | 158.91 Mn | 100.41 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Mn |
| Mar 31, 2026 | 355,000.00 |
| Dec 31, 2025 | 139,000.00 |
| Sep 30, 2025 | 563,000.00 |
| Jun 30, 2025 | 447,000.00 |
| Mar 31, 2025 | 272,000.00 |
| Dec 31, 2024 | 242,000.00 |
| Jun 30, 2024 | 105,000.00 |
| Dec 31, 2023 | 1.34 Mn |
| Sep 30, 2023 | 156,000.00 |
| Jun 30, 2023 | 115,000.00 |
| Mar 31, 2023 | 2.19 Mn |
| Dec 31, 2022 | 355,000.00 |
| Sep 30, 2022 | 52,000.00 |
| Jun 30, 2022 | -2.74 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Sep 30, 2021 | 840,000.00 |
| Jun 30, 2021 | 124,544.00 |
| Mar 31, 2021 | 3.76 Mn |
| Dec 31, 2020 | 750.00 |
API Access
Sangoma Technologies Restructuring Costs 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=restructuring-costs&ticker=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();