Karat Packaging (KRT) Total Liabilities (2020 - 2026)
Karat Packaging's Total Liabilities was $142.54 million in Q2 2026, down 9.9% from $158.26 million a year earlier but up 11.8% from the prior quarter.
Karat Packaging (KRT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Karat Packaging came in at $130.82 million, down 1.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $132.32 million in FY2024 (+16.4%), $113.71 million in FY2023 (+13.4%), $100.24 million in FY2022 (+32.6%) and $75.57 million in FY2021 (-46.5%).
- Quarterly Total Liabilities has moved between $75.57 million (Q4 2021) and $158.26 million (Q2 2025) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with growth averaging 6.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2023 (growth of 34.9%); the worst was Q4 2021 (a decline of 46.5%).
- Per Business Quant data, KRT's Total Liabilities in the three quarters before Q2 2026 was $127.51 million (Q1 2026), $130.82 million (Q4 2025) and $141.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 940.36 Bn | 896.79 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 441.60 Bn | 364.88 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Sysco | 39.53 Bn | 33.78 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 38.27 Bn | 24.42 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 29.65 Bn | 24.33 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 25.47 Bn | 23.47 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 23.78 Bn | 20.41 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 22.45 Bn | 22.25 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 17.25 Bn | 16.41 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Karat Packaging | 1.08 Bn | 909.42 Mn | 77.16 Mn | 142.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.54 Mn |
| Mar 31, 2026 | 127.51 Mn |
| Dec 31, 2025 | 130.82 Mn |
| Sep 30, 2025 | 141.25 Mn |
| Jun 30, 2025 | 158.26 Mn |
| Mar 31, 2025 | 152.01 Mn |
| Dec 31, 2024 | 132.32 Mn |
| Sep 30, 2024 | 143.21 Mn |
| Jun 30, 2024 | 146.87 Mn |
| Mar 31, 2024 | 118.65 Mn |
| Dec 31, 2023 | 113.71 Mn |
| Sep 30, 2023 | 115.21 Mn |
| Jun 30, 2023 | 121.62 Mn |
| Mar 31, 2023 | 111.90 Mn |
| Dec 31, 2022 | 100.24 Mn |
| Sep 30, 2022 | 85.38 Mn |
| Jun 30, 2022 | 99.67 Mn |
| Mar 31, 2022 | 100.14 Mn |
| Dec 31, 2021 | 75.57 Mn |
| Sep 30, 2021 | 78.48 Mn |
Karat Packaging 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=KRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KRT", "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=KRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();