System1 Inc
NYSE:SST
Decide at what price you'd be comfortable buying and we'll help you stay ready.
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P/B
Price to Book (P/B) ratio compares a company`s market value to its book value. It shows how much investors are paying for each dollar of net assets on the balance sheet.
Price to Book (P/B) ratio compares a company`s market value to its book value. It shows how much investors are paying for each dollar of net assets on the balance sheet.
Valuation Scenarios
If P/B returns to its 3-Year Average (2.1), the stock would be worth $6.54 (68% upside from current price).
| Scenario | P/B Value | Implied Price | Upside/Downside |
|---|---|---|---|
| Current Multiple | 1.3 | $3.9 |
0%
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| 3-Year Average | 2.1 | $6.54 |
+68%
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| 5-Year Average | 2.7 | $8.3 |
+113%
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| Industry Average | 2.3 | $7.16 |
+83%
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| Country Average | 2.5 | $7.74 |
+98%
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Forward P/B
Today’s price vs future total equity
Peer Comparison
| Market Cap | P/B | P/E | ||||
|---|---|---|---|---|---|---|
| US |
|
System1 Inc
NYSE:SST
|
38.6m USD | 1.3 | -0.6 | |
| US |
|
Alphabet Inc
NASDAQ:GOOGL
|
4.2T USD | 10 | 31.5 | |
| US |
|
Meta Platforms Inc
NASDAQ:META
|
1.7T USD | 7.8 | 28.1 | |
| CN |
|
Tencent Holdings Ltd
HKEX:700
|
4.5T HKD | 3.2 | 16.5 | |
| CN |
|
Baidu Inc
NASDAQ:BIDU
|
45.1B USD | 1.2 | 55.6 | |
| NL |
|
Nebius Group NV
NASDAQ:NBIS
|
37.2B USD | 615 | 27 898.9 | |
| JP |
L
|
LY Corp
XMUN:YOJ
|
31.6B EUR | 1.9 | 27.6 | |
| CN |
|
Kuaishou Technology
HKEX:1024
|
188.8B HKD | 2.1 | 8.8 | |
| KR |
|
Naver Corp
KRX:035420
|
32.3T KRW | 1.2 | 16.9 | |
| JP |
|
Z Holdings Corp
TSE:4689
|
2.9T JPY | 1 | 13.6 | |
| AU |
|
REA Group Ltd
ASX:REA
|
22.6B AUD | 12.1 | 39.1 |
Market Distribution
| Min | 0 |
| 30th Percentile | 1.5 |
| Median | 2.5 |
| 70th Percentile | 4.8 |
| Max | 147 580.5 |
Other Multiples
System1 Inc
Glance View
System1, Inc. engages in the development of a proprietary end-to-end responsive acquisition marketing platform. The company is headquartered in Marina Del Rey, California. The company went IPO on 2020-08-07. RAMP is omni-channel and omni-vertical, and built for a privacy-centric world. RAMP enables the building of various brands, the development and growth of a suite of privacy-focused products, and the delivery of high-intent customers to advertising partners. RAMP consists of three components. First, RAMP utilizes machine learning to identify and direct marketing campaigns to potential customers. Second, RAMP directs them to its network of approximately 40 owned and operated websites focused on further qualifying customer purchase intent. Its websites include various search engines, such as info.com and Startpage.com, and digital media sites and utilities, such as HowStuffWorks, MapQuest and WalletGenius. Third, RAMP helps in delivering advertisements either provided by its advertisers or advertising networks or for its own subscription products.
