Klaviyo (KVYO) Price to Book (2023 - 2026)
Klaviyo's (KVYO) Price to Book was 4.64 for Q2 2026, down 46.9% from 8.72 a year earlier and down 9.7% from the prior quarter.
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Analysis
Klaviyo (KVYO) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at Klaviyo was 7.89, down 25.7% from FY2024.
- By year, Price to Book came in at 10.62 in FY2024 (+23.7%) and 8.59 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Price to Book in data going back to Q3 2023.
- Year over year, Price to Book has now declined in each of the last four quarters, with an average decline of 7.1% over the last eight quarters.
- The high point for year-over-year Price to Book in five years was Q2 2025 (growth of 29.4%); the low point was Q2 2026 (a decline of 46.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 5.13 (Q1 2026), 7.89 (Q4 2025) and 7.29 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 448.02 Bn | 416.97 Bn | 1.64 Bn |
| 2 | Oracle | 381.28 Bn | 253.41 Bn | - |
| 3 | Sap Se | 259.53 Bn | 187.32 Bn | 8.40 Bn |
| 4 | Salesforce | 197.28 Bn | 153.16 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.34 Bn | 123.80 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 115.16 Bn | 97.29 Bn | 2.51 Bn |
| 7 | Intuit | 89.15 Bn | 68.50 Bn | 3.44 Bn |
| 8 | Relx | 71.36 Bn | 70.45 Bn | - |
| 9 | Thomson Reuters | 48.53 Bn | 45.32 Bn | - |
| 10 | Klaviyo | 5.02 Bn | 1.16 Bn | 269.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.64 |
| Mar 31, 2026 | 5.13 |
| Dec 31, 2025 | 7.89 |
| Sep 30, 2025 | 7.29 |
| Jun 30, 2025 | 8.72 |
| Mar 31, 2025 | 7.80 |
| Dec 31, 2024 | 10.62 |
| Sep 30, 2024 | 9.34 |
| Jun 30, 2024 | 6.74 |
| Mar 31, 2024 | 7.10 |
| Dec 31, 2023 | 8.59 |
| Sep 30, 2023 | 8.60 |
API Access
Klaviyo 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=KVYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "KVYO", "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=KVYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();