Jakks Pacific (JAKK) Total Non-Current Liabilities (2010 - 2026)
Jakks Pacific (JAKK) recorded Total Non-Current Liabilities of $194.36 million in Q2 2026, down 1.4% from $197.21 million a year earlier but up 27.1% from the prior quarter.
Jakks Pacific (JAKK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Jakks Pacific reported Total Non-Current Liabilities of $187.68 million, down 5.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $198.35 million in FY2024 (+16.7%), $169.9 million in FY2023 (-27.6%), $234.8 million in FY2022 (-15.8%) and $278.98 million in FY2021 (-9.6%).
- Quarterly Total Non-Current Liabilities has ranged from $130.13 million in Q1 2024 to $350.33 million in Q2 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for four consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 27.9% in Q1 2025, against a decline of 46.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $152.95 million (Q1 2026), $187.68 million (Q4 2025) and $224.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.75 Bn | 15.34 Bn | 1.07 Bn | 1.37 Bn |
| 2 | Hasbro | 17.15 Bn | 12.10 Bn | 1.21 Bn | 4.93 Bn |
| 3 | Acushnet Holdings | 5.17 Bn | 4.91 Bn | 445.83 Mn | 1.53 Bn |
| 4 | Mattel | 4.50 Bn | 1.18 Bn | 542.12 Mn | 3.07 Bn |
| 5 | YETI Holdings | 3.60 Bn | 3.05 Bn | 322.52 Mn | 642.79 Mn |
| 6 | Callaway Golf | 2.98 Bn | 430.33 Mn | 306.70 Mn | 590.50 Mn |
| 7 | Peloton Interactive | 2.32 Bn | -2.30 Bn | 344.40 Mn | 2.16 Bn |
| 8 | Sturm Ruger | 791.47 Mn | 395.47 Mn | 33.74 Mn | - |
| 9 | Smith & Wesson Brands | 648.83 Mn | 561.09 Mn | 32.27 Mn | 139.29 Mn |
| 10 | Jakks Pacific | 388.04 Mn | 169.48 Mn | 81.50 Mn | 250.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 250.49 Mn |
| Jun 30, 2026 | 194.36 Mn |
| Mar 31, 2026 | 152.95 Mn |
| Dec 31, 2025 | 192.15 Mn |
| Sep 30, 2025 | 224.12 Mn |
| Jun 30, 2025 | 196.71 Mn |
| Mar 31, 2025 | 165.93 Mn |
| Dec 31, 2024 | 197.85 Mn |
| Sep 30, 2024 | 268.97 Mn |
| Jun 30, 2024 | 177.12 Mn |
| Mar 31, 2024 | 130.13 Mn |
| Dec 31, 2023 | 169.90 Mn |
| Sep 30, 2023 | 280.95 Mn |
| Jun 30, 2023 | 187.89 Mn |
| Mar 31, 2023 | 163.45 Mn |
| Dec 31, 2022 | 234.80 Mn |
| Sep 30, 2022 | 348.23 Mn |
| Jun 30, 2022 | 350.33 Mn |
| Mar 31, 2022 | 241.65 Mn |
| Dec 31, 2021 | 278.98 Mn |
Jakks Pacific Total Non-Current 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-non-current-liabilities&ticker=JAKK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=JAKK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();