Funko (FNKO) Operating Expenses (2016 - 2026)
Funko (FNKO) posted Operating Expenses of $185.58 million for Q2 2026, down 18.7% from $228.22 million a year earlier and down 11.9% from the prior quarter.
Funko (FNKO) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Funko was $907.73 million, down 10.3% year-over-year; for FY2025, it came in at $953.75 million, down 8.0% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior years, Funko's Operating Expenses was $1.04 billion in FY2024 (-13.6%), $1.2 billion in FY2023 (-10.1%), $1.33 billion in FY2022 (+42.9%) and $933.83 million in FY2021 (+48.5%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last 13 quarters, with an average decline of 8.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 67.4%; the weakest was Q1 2024, with a decline of 27.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $210.55 million (Q1 2026), $267.12 million (Q4 2025) and $244.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Funko | 305.76 Mn | 149.75 Mn | 117.63 Mn | 185.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.58 Mn |
| Mar 31, 2026 | 210.55 Mn |
| Dec 31, 2025 | 267.12 Mn |
| Sep 30, 2025 | 244.48 Mn |
| Jun 30, 2025 | 228.22 Mn |
| Mar 31, 2025 | 213.94 Mn |
| Dec 31, 2024 | 288.30 Mn |
| Sep 30, 2024 | 281.03 Mn |
| Jun 30, 2024 | 236.93 Mn |
| Mar 31, 2024 | 230.60 Mn |
| Dec 31, 2023 | 294.64 Mn |
| Sep 30, 2023 | 318.39 Mn |
| Jun 30, 2023 | 270.54 Mn |
| Mar 31, 2023 | 316.34 Mn |
| Dec 31, 2022 | 391.10 Mn |
| Sep 30, 2022 | 348.21 Mn |
| Jun 30, 2022 | 306.77 Mn |
| Mar 31, 2022 | 288.54 Mn |
| Dec 31, 2021 | 311.09 Mn |
| Sep 30, 2021 | 241.54 Mn |
Funko 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=operating-expenses&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();