Funko (FNKO) Total Liabilities (2016 - 2026)
Funko (FNKO) reported Total Liabilities of $465.73 million for Q2 2026, down 9.2% from $512.83 million a year earlier but up 2.0% from the prior quarter.
Analysis
Funko (FNKO) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Funko posted Total Liabilities of $499.1 million, up 6.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $470.9 million in FY2024 (-16.0%), $560.55 million in FY2023 (-20.1%), $701.46 million in FY2022 (+22.9%) and $570.95 million in FY2021 (+29.4%).
- Five-year quarterly Total Liabilities spans a low of $434.25 million in Q1 2025 and a high of $725.27 million in Q1 2023.
- Year over year, Total Liabilities gained in three of the last eight quarters, with an average decline of 6.0%.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 46.3%); the low point was Q1 2024 (a decline of 30.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $456.47 million (Q1 2026), $499.1 million (Q4 2025) and $515.66 million (Q3 2025).
Peer Set
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 | Funko | 305.76 Mn | 149.75 Mn | 117.63 Mn | 465.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 465.73 Mn |
| Mar 31, 2026 | 456.47 Mn |
| Dec 31, 2025 | 499.10 Mn |
| Sep 30, 2025 | 515.66 Mn |
| Jun 30, 2025 | 512.83 Mn |
| Mar 31, 2025 | 434.25 Mn |
| Dec 31, 2024 | 470.90 Mn |
| Sep 30, 2024 | 543.14 Mn |
| Jun 30, 2024 | 510.50 Mn |
| Mar 31, 2024 | 507.91 Mn |
| Dec 31, 2023 | 560.55 Mn |
| Sep 30, 2023 | 637.28 Mn |
| Jun 30, 2023 | 634.81 Mn |
| Mar 31, 2023 | 725.27 Mn |
| Dec 31, 2022 | 701.46 Mn |
| Sep 30, 2022 | 704.40 Mn |
| Jun 30, 2022 | 718.72 Mn |
| Mar 31, 2022 | 555.58 Mn |
| Dec 31, 2021 | 570.95 Mn |
| Sep 30, 2021 | 541.03 Mn |
API Access
Funko 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=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();