Dogness (International) (DOGZ) Buildings (2018 - 2026)
Dogness (International) (DOGZ) reported Buildings of $24.11 million for fiscal Q4 2025 (quarter ended Jun 30, 2025), down 4.1% from $25.14 million a year earlier.
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Analysis
Dogness (International) (DOGZ) Buildings (2018 - 2026) Analysis & Trends
Dating back to fiscal Q4 2018, Dogness (International)'s Buildings record includes 11 quarters.
- Buildings has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By fiscal year, Buildings came in at $25.14 million in FY2024 (-0.2%), $25.19 million in FY2023 (-7.2%), $27.16 million in FY2022 (-3.4%) and $28.13 million in FY2021 (+10.2%).
- The fiscal Q4 2025 figure ranks as the lowest quarterly Buildings since fiscal Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn |
| 10 | Dogness (International) | 13.00 Mn | -17.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.46 Mn |
| Jun 30, 2025 | 24.11 Mn |
| Jun 30, 2024 | 25.14 Mn |
| Jun 30, 2023 | 25.19 Mn |
| Dec 31, 2022 | 26.42 Mn |
| Jun 30, 2022 | 27.16 Mn |
| Dec 31, 2021 | 28.47 Mn |
| Jun 30, 2021 | 28.13 Mn |
| Dec 31, 2020 | 27.80 Mn |
| Jun 30, 2020 | 25.53 Mn |
| Jun 30, 2019 | 9.49 Mn |
| Jun 30, 2018 | 9.79 Mn |
API Access
Dogness (International) Buildings 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=buildings&ticker=DOGZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=DOGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();