Funko (FNKO) Operating Expenses (2016 - 2026)
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Analysis
Funko (FNKO) Operating Expenses (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn | 1.08 Bn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn | 909.20 Mn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.26 Bn | 2.57 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.71 Bn | 164.37 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn | 26.11 Mn |
| 10 | Funko | 354.43 Mn | 198.10 Mn | 117.63 Mn | 185.58 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();