Jakks Pacific (JAKK) Total Liabilities (2010 - 2026)
Jakks Pacific's Total Liabilities was $200.62 million in Q2 2026, down 0.9% from $202.48 million a year earlier but up 26.6% from the prior quarter.
Jakks Pacific (JAKK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Jakks Pacific came in at $193.09 million, down 5.6% from FY2024.
- Total Liabilities has now declined for six consecutive years, with a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $204.54 million in FY2024 (-2.4%), $209.54 million in FY2023 (-19.3%), $259.65 million in FY2022 (-13.6%) and $300.48 million in FY2021 (-5.4%).
- Quarterly Total Liabilities has moved between $136.61 million (Q1 2024) and $371.65 million (Q3 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 1.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2025 (growth of 25.4%); the worst was Q2 2023 (a decline of 40.3%).
- Per Business Quant data, JAKK's Total Liabilities in the three quarters before Q2 2026 was $158.46 million (Q1 2026), $193.09 million (Q4 2025) and $229.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 3.34 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 5.31 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 1.65 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 4.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 692.22 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 620.50 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.20 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.45 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 74.49 Mn |
| 10 | Jakks Pacific | 288.99 Mn | 88.54 Mn | 44.96 Mn | 200.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.62 Mn |
| Mar 31, 2026 | 158.46 Mn |
| Dec 31, 2025 | 193.09 Mn |
| Sep 30, 2025 | 229.36 Mn |
| Jun 30, 2025 | 202.48 Mn |
| Mar 31, 2025 | 171.35 Mn |
| Dec 31, 2024 | 204.54 Mn |
| Sep 30, 2024 | 274.31 Mn |
| Jun 30, 2024 | 182.86 Mn |
| Mar 31, 2024 | 136.61 Mn |
| Dec 31, 2023 | 209.54 Mn |
| Sep 30, 2023 | 316.28 Mn |
| Jun 30, 2023 | 218.65 Mn |
| Mar 31, 2023 | 188.16 Mn |
| Dec 31, 2022 | 259.65 Mn |
| Sep 30, 2022 | 371.65 Mn |
| Jun 30, 2022 | 366.45 Mn |
| Mar 31, 2022 | 263.79 Mn |
| Dec 31, 2021 | 300.48 Mn |
| Sep 30, 2021 | 349.40 Mn |
Jakks Pacific 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=JAKK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "JAKK", "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=JAKK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();