Funko (FNKO) Depreciation & Amortization (CF) (2016 - 2026)
Funko (FNKO) posted Depreciation & Amortization (CF) of $15.77 million for Q2 2026, up 8.5% from $14.53 million a year earlier and up 6.7% from the prior quarter.
Funko (FNKO) Depreciation & Amortization (CF) (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Funko was $59.85 million, down 2.5% year-over-year; for FY2025, it came in at $59.1 million, down 5.6% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Funko's Depreciation & Amortization (CF) was $62.58 million in FY2024 (+9.1%), $57.39 million in FY2023 (+19.8%), $47.92 million in FY2022 (+19.6%) and $40.06 million in FY2021 (-14.3%).
- The Q2 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) since Q4 2024.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in four of the last eight quarters, with an average decline of 0.3%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q4 2022, with growth of 39.5%; the weakest was Q3 2021, with a decline of 16.1%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $14.77 million (Q1 2026), $14.78 million (Q4 2025) and $14.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.44 Bn | 15.05 Bn | 1.07 Bn | 112.50 Mn |
| 2 | Hasbro | 16.72 Bn | 11.70 Bn | 1.21 Bn | 21.70 Mn |
| 3 | Acushnet Holdings | 4.78 Bn | 4.51 Bn | 321.99 Mn | 15.90 Mn |
| 4 | Mattel | 4.28 Bn | 952.25 Mn | 542.12 Mn | 33.89 Mn |
| 5 | YETI Holdings | 3.43 Bn | 2.89 Bn | 322.52 Mn | 14.37 Mn |
| 6 | Callaway Golf | 2.79 Bn | 674.50 Mn | 226.70 Mn | 10.60 Mn |
| 7 | Peloton Interactive | 2.52 Bn | -2.33 Bn | 342.60 Mn | 11.30 Mn |
| 8 | Sturm Ruger | 791.88 Mn | 375.33 Mn | 30.52 Mn | 5.42 Mn |
| 9 | Smith & Wesson Brands | 643.00 Mn | 555.26 Mn | 32.27 Mn | 7.70 Mn |
| 10 | Funko | 345.37 Mn | 186.96 Mn | 116.86 Mn | 15.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.03 Mn |
| Jun 30, 2026 | 15.77 Mn |
| Mar 31, 2026 | 14.77 Mn |
| Dec 31, 2025 | 14.78 Mn |
| Sep 30, 2025 | 14.53 Mn |
| Jun 30, 2025 | 14.53 Mn |
| Mar 31, 2025 | 15.26 Mn |
| Dec 31, 2024 | 16.17 Mn |
| Sep 30, 2024 | 15.41 Mn |
| Jun 30, 2024 | 15.95 Mn |
| Mar 31, 2024 | 15.05 Mn |
| Dec 31, 2023 | 14.80 Mn |
| Sep 30, 2023 | 14.74 Mn |
| Jun 30, 2023 | 14.11 Mn |
| Mar 31, 2023 | 13.75 Mn |
| Dec 31, 2022 | 13.53 Mn |
| Sep 30, 2022 | 12.80 Mn |
| Jun 30, 2022 | 11.45 Mn |
| Mar 31, 2022 | 10.14 Mn |
| Dec 31, 2021 | 9.70 Mn |
Funko Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();