Funko (FNKO) Selling, General & Administrative (2016 - 2026)
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Analysis
Funko (FNKO) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | 909.20 Mn |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | 331.50 Mn |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | 217.28 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | 166.30 Mn |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | 92.40 Mn |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | 16.45 Mn |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | 15.34 Mn |
| 10 | Funko | 375.82 Mn | 217.06 Mn | 116.86 Mn | 86.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.88 Mn |
| Jun 30, 2026 | 79.72 Mn |
| Mar 31, 2026 | 83.69 Mn |
| Dec 31, 2025 | 90.86 Mn |
| Sep 30, 2025 | 79.79 Mn |
| Jun 30, 2025 | 82.26 Mn |
| Mar 31, 2025 | 84.81 Mn |
| Dec 31, 2024 | 102.80 Mn |
| Sep 30, 2024 | 92.66 Mn |
| Jun 30, 2024 | 77.90 Mn |
| Mar 31, 2024 | 85.60 Mn |
| Dec 31, 2023 | 97.38 Mn |
| Sep 30, 2023 | 93.99 Mn |
| Jun 30, 2023 | 85.63 Mn |
| Mar 31, 2023 | 100.06 Mn |
| Dec 31, 2022 | 139.23 Mn |
| Sep 30, 2022 | 97.93 Mn |
| Jun 30, 2022 | 82.69 Mn |
| Mar 31, 2022 | 78.42 Mn |
| Dec 31, 2021 | 78.30 Mn |
API Access
Funko Selling, General & Administrative 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=selling-general-and-administrative&ticker=FNKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();