Dogness (International) (DOGZ) Total Liabilities (2017 - 2026)
Dogness (International) (DOGZ) reported Total Liabilities of $19.1 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), unchanged from $19.09 million a year earlier.
Dogness (International) (DOGZ) Total Liabilities (2017 - 2026) Analysis & Trends
Dating back to fiscal Q4 2017, Dogness (International)'s Total Liabilities record includes 19 quarters.
- Total Liabilities has a five-year compound annual growth rate of -8.0% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $19.09 million in FY2025 (-16.2%), $22.79 million in FY2024 (+5.9%), $21.53 million in FY2023 (+74.7%) and $12.32 million in FY2022 (-57.4%).
- Five-year quarterly Total Liabilities spans a low of $12.32 million in fiscal Q4 2022 and a high of $26.45 million in fiscal Q2 2023.
- Year over year, Total Liabilities gained in 1 of the last four quarters, with an average decline of 7.5%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2023 (growth of 74.7%); the low point was fiscal Q4 2022 (a decline of 57.4%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | 69.38 Bn |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | 22.81 Bn |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | 10.45 Bn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | 9.06 Bn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Dogness (International) | 13.00 Mn | -17.01 Mn | - | 19.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.10 Mn |
| 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 | 8.84 Mn |
| Dec 31, 2017 | 12.79 Mn |
| Jun 30, 2017 | 10.16 Mn |
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_KEY
import 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();