SuperCom (SPCB) Price to Book (2012 - 2026)
SuperCom's Price to Book came in at 0.08 for Q2 2026, down 14.1% from 0.09 a year earlier.
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Analysis
SuperCom (SPCB) Price to Book (2012 - 2026) Analysis & Trends
For FY2025, SuperCom's Price to Book was 0.07, down 49.5% from FY2024.
- Price to Book has declined in each of the last five years.
- Going back by year, Price to Book was 0.14 in FY2024 (-74.6%), 0.55 in FY2023 (-77.1%), 2.39 in FY2022 (-33.6%) and 3.60 in FY2021 (-14.0%).
- The five-year range for quarterly Price to Book is 0.06 (Q1 2025) to 3.60 (Q4 2021).
- Across the past five years, year-over-year decline in Price to Book ran from 3.8% in Q2 2025 to 91.9% in Q2 2024.
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 | 1.29 |
| Dec 31, 2025 | 1.12 |
| Jun 30, 2025 | 0.19 |
| Mar 31, 2025 | 0.13 |
| Dec 31, 2024 | 0.27 |
| Jun 30, 2024 | 0.19 |
| Dec 31, 2023 | 1.08 |
| Jun 30, 2023 | 1.21 |
| Dec 31, 2022 | 2.39 |
| Jun 30, 2022 | 2.50 |
| Dec 31, 2021 | 3.60 |
| Jun 30, 2021 | 2.61 |
| Dec 31, 2020 | 4.19 |
| Jun 30, 2020 | 3.26 |
| Dec 31, 2019 | 1.21 |
| Jun 30, 2019 | 0.89 |
| Dec 31, 2018 | 1.14 |
| Jun 30, 2018 | 1.08 |
| Dec 31, 2017 | 1.79 |
| Sep 30, 2017 | 1.41 |
API Access
SuperCom Price to Book 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=price-to-book&ticker=SPCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=SPCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();