Sangoma Technologies (SANG) Goodwill & Intangibles (2020 - 2026)
Sangoma Technologies (SANG) recorded Goodwill & Intangibles of $177.46 million in the quarter ended Jun 30, 2026, down 36.2% from $277.96 million a year earlier and down 30.1% from the prior quarter.
Sangoma Technologies (SANG) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
Starting with the quarter ended Jun 30, 2020, Sangoma Technologies' Goodwill & Intangibles history includes 21 quarters.
- Annual Goodwill & Intangibles has declined for five straight years, with a five-year compound annual growth rate of -17.4% (years ended Jun 2021 to Jun 2026).
- Across earlier years, Goodwill & Intangibles came in at $277.96 million in the year ended Jun 30, 2025 (-10.8%), $311.63 million in the year ended Jun 30, 2024 (-9.7%), $344.94 million in the year ended Jun 30, 2023 (-14.1%) and $401.38 million in the year ended Jun 30, 2022 (-13.0%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Goodwill & Intangibles since the quarter ended Jun 30, 2020.
- On a year-over-year basis, Goodwill & Intangibles has declined for 15 consecutive quarters, with an average decline of 13.9% over the last eight quarters.
- Over the past five years, the year-over-year decline in Goodwill & Intangibles ranged from 9.7% (the quarter ended Jun 30, 2024) to 36.2% (the quarter ended Jun 30, 2026).
- Per Business Quant, the preceding three quarters came in at $253.83 million (quarter ended Mar 31, 2026), $261.8 million (quarter ended Dec 31, 2025) and $269.79 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Sangoma Technologies | 162.36 Mn | 162.36 Mn | 32.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 177.46 Mn |
| Mar 31, 2026 | 253.83 Mn |
| Dec 31, 2025 | 261.80 Mn |
| Sep 30, 2025 | 269.79 Mn |
| Jun 30, 2025 | 277.96 Mn |
| Mar 31, 2025 | 286.14 Mn |
| Dec 31, 2024 | 295.23 Mn |
| Sep 30, 2024 | 303.43 Mn |
| Jun 30, 2024 | 311.63 Mn |
| Mar 31, 2024 | 319.97 Mn |
| Dec 31, 2023 | 328.22 Mn |
| Sep 30, 2023 | 336.58 Mn |
| Jun 30, 2023 | 344.94 Mn |
| Mar 31, 2023 | 375.65 Mn |
| Dec 31, 2022 | 384.22 Mn |
| Sep 30, 2022 | 392.80 Mn |
| Jun 30, 2022 | 401.38 Mn |
| Mar 31, 2022 | 508.63 Mn |
| Dec 31, 2021 | 448.08 Mn |
| Jun 30, 2021 | 461.38 Mn |
Sangoma Technologies Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();