Dogness (International) (DOGZ) Price to Book (2017 - 2026)
Dogness (International)'s Price to Book was 0.21 in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 91.3% from 2.39 a year earlier.
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Analysis
Dogness (International) (DOGZ) Price to Book (2017 - 2026) Analysis & Trends
From fiscal Q2 2018 onward, Dogness (International) has reported Price to Book for 18 quarters.
- In earlier fiscal years, Price to Book was 2.39 in FY2025 (-17.1%), 2.88 in FY2024 (+650.4%), 0.38 in FY2023 (-52.5%) and 0.81 in FY2022 (-16.1%).
- The fiscal Q4 2026 figure marks the lowest quarterly Price to Book since fiscal Q2 2024.
- The best year-over-year quarter for Price to Book over five years was fiscal Q4 2024 (growth of 650.4%); the worst was fiscal Q4 2026 (a decline of 91.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Dogness (International) | 12.67 Mn | -17.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.21 |
| Dec 31, 2025 | 1.59 |
| Jun 30, 2025 | 2.39 |
| Dec 31, 2024 | 7.75 |
| Jun 30, 2024 | 2.88 |
| Dec 31, 2023 | 0.14 |
| Jun 30, 2023 | 0.38 |
| Dec 31, 2022 | 0.46 |
| Jun 30, 2022 | 0.81 |
| Dec 31, 2021 | 3.33 |
| Jun 30, 2021 | 0.96 |
| Dec 31, 2020 | 0.97 |
| Jun 30, 2020 | 0.71 |
| Dec 31, 2019 | 0.57 |
| Jun 30, 2019 | 1.23 |
| Dec 31, 2018 | 1.69 |
| Jun 30, 2018 | 1.73 |
| Dec 31, 2017 | 2.51 |
API Access
Dogness (International) 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=DOGZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DOGZ", "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=DOGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();