Funko (FNKO) Long-Term Debt Repayments (2016 - 2026)
Funko's Long-Term Debt Repayments was $15.47 million in Q2 2026, up 168.0% from $5.77 million a year earlier and up 165.4% from the prior quarter.
Funko (FNKO) Long-Term Debt Repayments (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Funko's Long-Term Debt Repayments was $32.91 million through Jun 30, 2026, up 43.1% year-over-year; for FY2025, it was $23.13 million, down 25.6% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $31.1 million in FY2024 (+37.7%), $22.58 million in FY2023 (+25.5%), $18 million in FY2022 (-90.9%) and $198.38 million in FY2021 (+650.3%).
- The Q2 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q3 2021.
- Compared with a year earlier, Long-Term Debt Repayments has increased for five straight quarters, with growth averaging 14.6% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2026 (growth of 168.0%); the worst was Q3 2022 (a decline of 97.5%).
- Per Business Quant data, FNKO's Long-Term Debt Repayments in the three quarters before Q2 2026 was $5.83 million (Q1 2026), $5.81 million (Q4 2025) and $5.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.73 Bn | 11.69 Bn | 1.21 Bn | 29.20 Mn |
| 2 | Amer Sports | 16.29 Bn | 13.88 Bn | 1.07 Bn | -40.40 Mn |
| 3 | Acushnet Holdings | 5.08 Bn | 4.82 Bn | 445.83 Mn | 428.54 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 | 600,000.00 |
| 7 | Peloton Interactive | 2.17 Bn | -2.44 Bn | 344.40 Mn | 2.50 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 | 15.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.47 Mn |
| Mar 31, 2026 | 5.83 Mn |
| Dec 31, 2025 | 5.81 Mn |
| Sep 30, 2025 | 5.79 Mn |
| Jun 30, 2025 | 5.77 Mn |
| Mar 31, 2025 | 5.76 Mn |
| Dec 31, 2024 | 5.74 Mn |
| Sep 30, 2024 | 5.72 Mn |
| Jun 30, 2024 | 5.70 Mn |
| Mar 31, 2024 | 13.94 Mn |
| Dec 31, 2023 | 5.67 Mn |
| Sep 30, 2023 | 5.65 Mn |
| Jun 30, 2023 | 5.64 Mn |
| Mar 31, 2023 | 5.62 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 4.50 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 4.50 Mn |
| Dec 31, 2021 | 4.50 Mn |
| Sep 30, 2021 | 180.00 Mn |
Funko Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();