Dogness (International) (DOGZ) Total Liabilities (2017 - 2025)
Dogness (International) (DOGZ) reported Total Liabilities of $19.31 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 16.7% from $23.18 million a year earlier.
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Analysis
Dogness (International) (DOGZ) Total Liabilities (2017 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Dogness (International) posted Total Liabilities of $19.09 million, down 16.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $22.79 million in FY2024 (+5.9%), $21.53 million in FY2023 (+74.7%), $12.32 million in FY2022 (-57.4%) and $28.94 million in FY2021 (+140.3%).
- Five-year quarterly Total Liabilities spans a low of $12.32 million in fiscal Q4 2022 and a high of $28.94 million in fiscal Q4 2021.
- Year over year, Total Liabilities gained in two of the last four quarters, with an average decline of 6.0%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2021 (growth of 140.3%); the low point was fiscal Q4 2022 (a decline of 57.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Dogness (International) | 12.81 Mn | -19.67 Mn | - | 19.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 19.31 Mn |
| Jun 30, 2025 | 19.09 Mn |
| Dec 31, 2024 | 23.18 Mn |
| Jun 30, 2024 | 22.79 Mn |
| Dec 31, 2023 | 22.49 Mn |
| Jun 30, 2023 | 21.53 Mn |
| Dec 31, 2022 | 26.45 Mn |
| Jun 30, 2022 | 12.32 Mn |
| Dec 31, 2021 | 24.92 Mn |
| Jun 30, 2021 | 28.94 Mn |
| Dec 31, 2020 | 18.32 Mn |
| Jun 30, 2020 | 12.04 Mn |
| Dec 31, 2019 | 11.73 Mn |
| Jun 30, 2019 | 8.07 Mn |
| Dec 31, 2018 | 7.66 Mn |
| Jun 30, 2018 | 8.97 Mn |
| Dec 31, 2017 | 12.79 Mn |
| Jun 30, 2017 | 10.16 Mn |
API Access
Dogness (International) Total Liabilities 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=total-liabilities&ticker=DOGZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DOGZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();