Sangoma Technologies (SANG) Inventory (2020 - 2026)
Sangoma Technologies (SANG) recorded Inventory of $4.76 million in the quarter ended Jun 30, 2026, down 42.1% from $8.23 million a year earlier and down 35.2% from the prior quarter.
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Analysis
Sangoma Technologies (SANG) Inventory (2020 - 2026) Analysis & Trends
Starting with the quarter ended Jun 30, 2020, Sangoma Technologies' Inventory history includes 21 quarters.
- Annual Inventory has declined for three straight years, with a five-year compound annual growth rate of -16.6% (years ended Jun 2021 to Jun 2026).
- Across earlier years, Inventory came in at $8.23 million in the year ended Jun 30, 2025 (-44.3%), $14.77 million in the year ended Jun 30, 2024 (-17.8%), $17.97 million in the year ended Jun 30, 2023 (+3.1%) and $17.43 million in the year ended Jun 30, 2022 (+47.4%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Inventory in data going back to the quarter ended Jun 30, 2020.
- On a year-over-year basis, Inventory has declined for 12 consecutive quarters, with an average decline of 35.9% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 47.4% in the quarter ended Jun 30, 2022, against a decline of 45.2% in the quarter ended Sep 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.35 million (quarter ended Mar 31, 2026), $7.26 million (quarter ended Dec 31, 2025) and $7.55 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | - |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | - |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | - |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | - |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | - |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | - |
| 10 | Sangoma Technologies | 119.69 Mn | 119.69 Mn | 32.27 Mn | 4.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.76 Mn |
| Mar 31, 2026 | 7.35 Mn |
| Dec 31, 2025 | 7.26 Mn |
| Sep 30, 2025 | 7.55 Mn |
| Jun 30, 2025 | 8.23 Mn |
| Mar 31, 2025 | 9.72 Mn |
| Dec 31, 2024 | 13.12 Mn |
| Sep 30, 2024 | 13.79 Mn |
| Jun 30, 2024 | 14.77 Mn |
| Mar 31, 2024 | 16.18 Mn |
| Dec 31, 2023 | 17.12 Mn |
| Sep 30, 2023 | 17.89 Mn |
| Jun 30, 2023 | 17.97 Mn |
| Mar 31, 2023 | 18.65 Mn |
| Dec 31, 2022 | 19.30 Mn |
| Sep 30, 2022 | 19.07 Mn |
| Jun 30, 2022 | 17.43 Mn |
| Mar 31, 2022 | 16.47 Mn |
| Dec 31, 2021 | 14.34 Mn |
| Jun 30, 2021 | 11.82 Mn |
API Access
Sangoma Technologies Inventory 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=inventory&ticker=SANG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SANG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();