SuperCom (SPCB) Accumulated Expenses (2009 - 2026)
SuperCom (SPCB) recorded Accumulated Expenses of $564,000 in Q2 2026, down 15.6% from $668,000 a year earlier.
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Analysis
SuperCom (SPCB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, SuperCom reported Accumulated Expenses of $345,000, down 26.6% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -39.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $470,000 in FY2024 (-3.1%), $485,000 in FY2023 (+3.4%), $469,000 in FY2022 (-69.9%) and $1.56 million in FY2021 (-64.5%).
- Quarterly Accumulated Expenses has ranged from $283,000 in Q2 2023 to $1.56 million in Q4 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in 1 of the last four quarters, with an average decline of 4.0%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 82.7% in Q2 2024, against a decline of 79.1% in Q2 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | SuperCom | 38.08 Mn | -13.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 564,000.00 |
| Dec 31, 2025 | 345,000.00 |
| Jun 30, 2025 | 668,000.00 |
| Mar 31, 2025 | 754,000.00 |
| Dec 31, 2024 | 470,000.00 |
| Jun 30, 2024 | 517,000.00 |
| Dec 31, 2023 | 485,000.00 |
| Jun 30, 2023 | 283,000.00 |
| Dec 31, 2022 | 469,000.00 |
| Jun 30, 2022 | 1.35 Mn |
| Dec 31, 2021 | 1.56 Mn |
| Jun 30, 2021 | 2.64 Mn |
| Dec 31, 2020 | 4.39 Mn |
| Jun 30, 2020 | 4.00 Mn |
| Dec 31, 2019 | 4.67 Mn |
| Jun 30, 2019 | 4.05 Mn |
| Dec 31, 2018 | 4.48 Mn |
| Jun 30, 2018 | 4.61 Mn |
| Dec 31, 2017 | 3.74 Mn |
| Sep 30, 2017 | 3.53 Mn |
API Access
SuperCom 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=accumulated-expenses&ticker=SPCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SPCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();