Funko (FNKO) Other Operating Expenses (2016 - 2026)
Funko's Other Operating Expenses came in at $90.09 million for Q2 2026, down 31.5% from $131.43 million a year earlier and down 19.6% from the prior quarter.
Funko (FNKO) Other Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Funko reported Other Operating Expenses of $513.83 million, down 12.6% year-over-year; for FY2025, it was $556.94 million, down 9.5% from FY2024.
- Other Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $615.32 million in FY2024 (-19.4%), $763.09 million in FY2023 (-14.1%), $888.44 million in FY2022 (+37.0%) and $648.3 million in FY2021 (+60.7%).
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q2 2020.
- Year-over-year, Other Operating Expenses has declined for 13 consecutive quarters, with an average decline of 11.9% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2022 (growth of 80.1%), and the weakest in Q1 2024 (a decline of 36.0%).
- Business Quant data shows FNKO's Other Operating Expenses at $112.09 million (Q1 2026), $161.49 million (Q4 2025) and $150.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn |
| 5 | YETI Holdings | 3.26 Bn | 2.57 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.71 Bn | 164.37 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn |
| 10 | Funko | 354.43 Mn | 198.10 Mn | 117.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.86 Mn |
| Mar 31, 2026 | 126.87 Mn |
| Dec 31, 2025 | 176.27 Mn |
| Sep 30, 2025 | 164.68 Mn |
| Jun 30, 2025 | 145.96 Mn |
| Mar 31, 2025 | 129.13 Mn |
| Dec 31, 2024 | 185.50 Mn |
| Sep 30, 2024 | 188.37 Mn |
| Jun 30, 2024 | 159.03 Mn |
| Mar 31, 2024 | 145.01 Mn |
| Dec 31, 2023 | 197.26 Mn |
| Sep 30, 2023 | 224.40 Mn |
| Jun 30, 2023 | 184.91 Mn |
| Mar 31, 2023 | 216.28 Mn |
| Dec 31, 2022 | 251.87 Mn |
| Sep 30, 2022 | 250.28 Mn |
| Jun 30, 2022 | 224.08 Mn |
| Mar 31, 2022 | 210.12 Mn |
| Dec 31, 2021 | 232.79 Mn |
| Sep 30, 2021 | 181.65 Mn |
Funko Other Operating Expenses 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=other-operating-expenses&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();