Dogness (International) (DOGZ) Buildings (2018 - 2025)
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.
Dogness (International) (DOGZ) Buildings (2018 - 2025) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Dogness (International) | 12.81 Mn | -19.67 Mn | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
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_KEY
import 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();