Funko (FNKO) EBITDA (2016 - 2026)
Funko's EBITDA came in at $37.91 million for Q2 2026, compared with -$20.22 million a year earlier and up 637.5% from the prior quarter.
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Analysis
Funko (FNKO) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Funko reported EBITDA of $84.76 million, up 311.6% year-over-year; for FY2025, it came in at $13.55 million, down 82.1% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -28.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $75.57 million in FY2024, -$45.16 million in FY2023, $36.9 million in FY2022 (-73.0%) and $136.64 million in FY2021 (+90.7%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q4 2018.
- Year-over-year, EBITDA increased in two of the last four quarters, with growth averaging 59.8%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2024 (growth of 181.9%), and the weakest in Q3 2023 (a decline of 68.4%).
- Business Quant data shows FNKO's EBITDA at $5.14 million (Q1 2026), $20.75 million (Q4 2025) and $20.96 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn | 553.60 Mn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn | 304.20 Mn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn | 190.31 Mn |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | 59.60 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 | 124.90 Mn |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn | 95.10 Mn |
| 8 | Unusual Machines | 742.78 Mn | 279.27 Mn | 5.80 Mn | -7.76 Mn |
| 9 | Sturm Ruger | 699.88 Mn | 303.88 Mn | 33.74 Mn | 14.01 Mn |
| 10 | Funko | 354.43 Mn | 198.10 Mn | 117.63 Mn | 37.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.91 Mn |
| Mar 31, 2026 | 5.14 Mn |
| Dec 31, 2025 | 20.75 Mn |
| Sep 30, 2025 | 20.96 Mn |
| Jun 30, 2025 | -20.22 Mn |
| Mar 31, 2025 | -7.94 Mn |
| Dec 31, 2024 | 21.60 Mn |
| Sep 30, 2024 | 27.15 Mn |
| Jun 30, 2024 | 26.69 Mn |
| Mar 31, 2024 | 583,000.00 |
| Dec 31, 2023 | 11.73 Mn |
| Sep 30, 2023 | 9.63 Mn |
| Jun 30, 2023 | -16.07 Mn |
| Mar 31, 2023 | -50.45 Mn |
| Dec 31, 2022 | -44.30 Mn |
| Sep 30, 2022 | 30.44 Mn |
| Jun 30, 2022 | 20.60 Mn |
| Mar 31, 2022 | 30.16 Mn |
| Dec 31, 2021 | 35.11 Mn |
| Sep 30, 2021 | 37.01 Mn |
API Access
Funko EBITDA 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=ebitda&ticker=FNKO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();