Dogness (International) (DOGZ) Property, Plant & Equipment (Net) (2017 - 2026)
Dogness (International) (DOGZ) posted Property, Plant & Equipment (Net) of $58.31 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.1% from $58.26 million a year earlier.
Dogness (International) (DOGZ) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
Since fiscal Q4 2017, Dogness (International) has reported Property, Plant & Equipment (Net) for 19 quarters.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- In prior fiscal years, Dogness (International)'s Property, Plant & Equipment (Net) was $58.26 million in FY2025 (-5.0%), $61.3 million in FY2024 (-0.6%), $61.69 million in FY2023 (-9.9%) and $68.45 million in FY2022 (-2.0%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $58.26 million in fiscal Q4 2025 to a high of $73.6 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in two of the last four quarters, with an average decline of 0.5%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was fiscal Q2 2022, with growth of 37.6%; the weakest was fiscal Q2 2023, with a decline of 10.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 10.88 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Dogness (International) | 12.67 Mn | -17.34 Mn | - | 58.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.31 Mn |
| Dec 31, 2025 | 63.37 Mn |
| Jun 30, 2025 | 58.26 Mn |
| Dec 31, 2024 | 60.59 Mn |
| Jun 30, 2024 | 61.30 Mn |
| Dec 31, 2023 | 61.74 Mn |
| Jun 30, 2023 | 61.69 Mn |
| Dec 31, 2022 | 66.10 Mn |
| Jun 30, 2022 | 68.45 Mn |
| Dec 31, 2021 | 73.60 Mn |
| Jun 30, 2021 | 69.88 Mn |
| Dec 31, 2020 | 53.50 Mn |
| Jun 30, 2020 | 43.53 Mn |
| Dec 31, 2019 | 41.39 Mn |
| Jun 30, 2019 | 35.52 Mn |
| Dec 31, 2018 | 26.84 Mn |
| Jun 30, 2018 | 20.95 Mn |
| Dec 31, 2017 | 9.37 Mn |
| Jun 30, 2017 | 8.75 Mn |
Dogness (International) Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DOGZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DOGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();