Funko (FNKO) Change in Other Operating Liabilities (2019 - 2026)
Funko's Change in Other Operating Liabilities was $4.16 million in Q2 2026, up 21.1% from $3.44 million a year earlier.
Funko (FNKO) Change in Other Operating Liabilities (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Funko's Change in Other Operating Liabilities was $8.32 million through Jun 30, 2026; for FY2025, it was -$1.54 million.
- In earlier years, Change in Other Operating Liabilities was $6.99 million in FY2024, -$14.72 million in FY2023, $9.08 million in FY2022 (-48.5%) and $17.63 million in FY2021.
- Quarterly Change in Other Operating Liabilities has moved between -$22.74 million (Q1 2023) and $20.72 million (Q3 2022) over five years.
- Compared with a year earlier, Change in Other Operating Liabilities was higher in three of the last four quarters, with an average decline of 3.4%.
- The best year-over-year quarter for Change in Other Operating Liabilities over five years was Q3 2022 (growth of 273.0%); the worst was Q2 2025 (a decline of 66.1%).
- Per Business Quant data, FNKO's Change in Other Operating Liabilities in the three quarters before Q2 2026 was -$9.27 million (Q1 2026), $2.03 million (Q4 2025) and $11.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.44 Bn | 15.05 Bn | 1.07 Bn | -68.40 Mn |
| 2 | Hasbro | 16.72 Bn | 11.70 Bn | 1.21 Bn | - |
| 3 | Acushnet Holdings | 4.78 Bn | 4.51 Bn | 321.99 Mn | - |
| 4 | Mattel | 4.28 Bn | 952.25 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.43 Bn | 2.89 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.79 Bn | 674.50 Mn | 226.70 Mn | -1.00 Mn |
| 7 | Peloton Interactive | 2.52 Bn | -2.33 Bn | 342.60 Mn | -28.80 Mn |
| 8 | Sturm Ruger | 791.88 Mn | 375.33 Mn | 30.52 Mn | -144,000.00 |
| 9 | Smith & Wesson Brands | 643.00 Mn | 555.26 Mn | 32.27 Mn | 1.67 Mn |
| 10 | Funko | 345.37 Mn | 186.96 Mn | 116.86 Mn | 983,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 983,000.00 |
| Jun 30, 2026 | 4.16 Mn |
| Mar 31, 2026 | -9.27 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 11.40 Mn |
| Jun 30, 2025 | 3.44 Mn |
| Mar 31, 2025 | -18.41 Mn |
| Dec 31, 2024 | 149,000.00 |
| Sep 30, 2024 | 9.16 Mn |
| Jun 30, 2024 | 10.15 Mn |
| Mar 31, 2024 | -12.48 Mn |
| Dec 31, 2023 | -7.48 Mn |
| Sep 30, 2023 | 8.57 Mn |
| Jun 30, 2023 | 6.94 Mn |
| Mar 31, 2023 | -22.74 Mn |
| Dec 31, 2022 | -1.86 Mn |
| Sep 30, 2022 | 20.72 Mn |
| Jun 30, 2022 | -11.28 Mn |
| Mar 31, 2022 | 1.51 Mn |
| Dec 31, 2021 | 10.55 Mn |
Funko Change in Other Operating 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=change-in-other-operating-liabilities&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();