SuperCom (SPCB) Gross Margin (2009 - 2025)
SuperCom's Gross Margin came in at 55.18% for FY2025, up 6.75 percentage points from 48.43% in FY2024.
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Analysis
SuperCom (SPCB) Gross Margin (2009 - 2025) Analysis & Trends
Going back to FY2010, SuperCom's Gross Margin data covers 16 years.
- Gross Margin has increased in each of the last three years, with a five-year change of +7.76 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Gross Margin since FY2015.
- Per Business Quant, earlier years put Gross Margin at 48.43% in FY2024 (+9.96 pp), 38.48% in FY2023 (+2.28 pp), 36.19% in FY2022 (-14.38 pp) and 50.57% in FY2021 (+3.16 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 78.59% |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 79.63% |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 60.42% |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 73.83% |
| 10 | SuperCom | 40.56 Mn | -11.22 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 59.08% |
| Mar 31, 2025 | 63.28% |
| Jun 30, 2024 | 49.61% |
| Mar 31, 2024 | 55.27% |
| Dec 31, 2023 | 41.43% |
| Sep 30, 2023 | 59.41% |
| Jun 30, 2023 | 29.25% |
| Dec 31, 2022 | 32.04% |
| Sep 30, 2022 | 34.03% |
| Jun 30, 2022 | 39.84% |
| Mar 31, 2022 | 43.80% |
| Jun 30, 2021 | 57.55% |
| Mar 31, 2021 | 55.28% |
| Jun 30, 2019 | 57.57% |
| Mar 31, 2019 | 54.17% |
| Dec 31, 2018 | -147.56% |
| Sep 30, 2018 | 56.00% |
| Jun 30, 2018 | 56.71% |
| Mar 31, 2018 | 55.42% |
| Dec 31, 2017 | 16.85% |
API Access
SuperCom Gross Margin 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=gross-margin&ticker=SPCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "SPCB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=SPCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();