Funko (FNKO) Total Non-Current Liabilities (2016 - 2026)
Funko (FNKO) recorded Total Non-Current Liabilities of $461.86 million in Q2 2026, down 9.1% from $508.36 million a year earlier but up 2.2% from the prior quarter.
Funko (FNKO) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Funko reported Total Non-Current Liabilities of $494.84 million, up 6.1% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $466.49 million in FY2024 (-16.0%), $555.07 million in FY2023 (-7.2%), $597.91 million in FY2022 (+21.5%) and $491.94 million in FY2021 (+30.5%).
- Quarterly Total Non-Current Liabilities has ranged from $430.08 million in Q1 2025 to $632.62 million in Q3 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in three of the last eight quarters, with an average decline of 6.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 51.2% in Q2 2022, against a decline of 19.7% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $452.11 million (Q1 2026), $494.84 million (Q4 2025) and $511.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn | 4.93 Bn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn | 1.37 Bn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn | 1.53 Bn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | 3.07 Bn |
| 5 | YETI Holdings | 3.26 Bn | 2.57 Bn | 322.52 Mn | 642.79 Mn |
| 6 | Callaway Golf | 2.71 Bn | 164.37 Mn | 306.70 Mn | 590.50 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn | 2.16 Bn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn | 2.57 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn | - |
| 10 | Funko | 354.43 Mn | 198.10 Mn | 117.63 Mn | 461.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.86 Mn |
| Mar 31, 2026 | 452.11 Mn |
| Dec 31, 2025 | 494.84 Mn |
| Sep 30, 2025 | 511.35 Mn |
| Jun 30, 2025 | 508.36 Mn |
| Mar 31, 2025 | 430.08 Mn |
| Dec 31, 2024 | 466.49 Mn |
| Sep 30, 2024 | 537.51 Mn |
| Jun 30, 2024 | 505.48 Mn |
| Mar 31, 2024 | 503.21 Mn |
| Dec 31, 2023 | 555.07 Mn |
| Sep 30, 2023 | 632.62 Mn |
| Jun 30, 2023 | 629.39 Mn |
| Mar 31, 2023 | 622.15 Mn |
| Dec 31, 2022 | 597.91 Mn |
| Sep 30, 2022 | 600.61 Mn |
| Jun 30, 2022 | 614.28 Mn |
| Mar 31, 2022 | 473.88 Mn |
| Dec 31, 2021 | 491.94 Mn |
| Sep 30, 2021 | 455.11 Mn |
Funko 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=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FNKO", "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=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();