Sangoma Technologies (SANG) Other Accumulated Expenses (2020 - 2026)
Sangoma Technologies (SANG) recorded Other Accumulated Expenses of $1.37 million in the quarter ended Jun 30, 2026, down 66.0% from $4.01 million a year earlier and down 28.9% from the prior quarter.
Sangoma Technologies (SANG) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
Starting with the quarter ended Jun 30, 2020, Sangoma Technologies' Other Accumulated Expenses history includes 21 quarters.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 0.7% (years ended Jun 2021 to Jun 2026).
- Across earlier years, Other Accumulated Expenses came in at $4.01 million in the year ended Jun 30, 2025 (-32.6%), $5.96 million in the year ended Jun 30, 2024 (+1.5%), $5.87 million in the year ended Jun 30, 2023 (-0.5%) and $5.9 million in the year ended Jun 30, 2022 (+346.9%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Other Accumulated Expenses since the quarter ended Dec 31, 2021.
- On a year-over-year basis, Other Accumulated Expenses has declined for seven consecutive quarters, with an average decline of 33.6% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 509.0% in the quarter ended Dec 31, 2022, against a decline of 66.0% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.92 million (quarter ended Mar 31, 2026), $2.99 million (quarter ended Dec 31, 2025) and $2.74 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 | 1.37 Mn |
| Mar 31, 2026 | 1.92 Mn |
| Dec 31, 2025 | 2.99 Mn |
| Sep 30, 2025 | 2.74 Mn |
| Jun 30, 2025 | 4.01 Mn |
| Mar 31, 2025 | 4.05 Mn |
| Dec 31, 2024 | 5.26 Mn |
| Sep 30, 2024 | 7.87 Mn |
| Jun 30, 2024 | 5.96 Mn |
| Mar 31, 2024 | 6.86 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 5.80 Mn |
| Jun 30, 2023 | 5.87 Mn |
| Mar 31, 2023 | 5.19 Mn |
| Dec 31, 2022 | 5.76 Mn |
| Sep 30, 2022 | 5.64 Mn |
| Jun 30, 2022 | 5.90 Mn |
| Mar 31, 2022 | 6.17 Mn |
| Dec 31, 2021 | 945,688.00 |
| Jun 30, 2021 | 1.32 Mn |
Sangoma Technologies Other Accumulated 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-accumulated-expenses&ticker=SANG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();