Funko (FNKO) EPS (Diluted) (2017 - 2026)
Funko (FNKO) reported EPS (Diluted) of $0.27 for Q2 2026, compared with -$0.74 a year earlier.
Analysis
Funko (FNKO) EPS (Diluted) (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Funko's EPS (Diluted) came in at -$0.04; for FY2025, it was -$1.24.
- By year, EPS (Diluted) came in at -$0.28 in FY2024, -$3.19 in FY2023, -$0.18 in FY2022 and $1.08 in FY2021 (+876.2%).
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) since Q2 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$0.33 (Q1 2026), $0.00 (Q4 2025) and $0.02 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 17.51 Bn | 15.10 Bn | 1.07 Bn | 0.19 |
| 2 | Hasbro | 16.75 Bn | 11.71 Bn | 1.21 Bn | 2.77 |
| 3 | Acushnet Holdings | 4.79 Bn | 4.52 Bn | 321.99 Mn | 0.83 |
| 4 | Mattel | 4.43 Bn | 1.11 Bn | 542.12 Mn | -0.06 |
| 5 | YETI Holdings | 3.36 Bn | 2.82 Bn | 322.52 Mn | 0.94 |
| 6 | Callaway Golf | 2.98 Bn | 868.19 Mn | 226.70 Mn | 0.25 |
| 7 | Peloton Interactive | 2.49 Bn | -2.37 Bn | 342.60 Mn | 0.18 |
| 8 | Sturm Ruger | 799.29 Mn | 382.73 Mn | 30.52 Mn | 0.36 |
| 9 | Smith & Wesson Brands | 647.27 Mn | 559.52 Mn | 32.27 Mn | 0.06 |
| 10 | Funko | 375.82 Mn | 217.06 Mn | 116.86 Mn | 0.13 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.13 |
| Jun 30, 2026 | 0.27 |
| Mar 31, 2026 | -0.33 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.02 |
| Jun 30, 2025 | -0.74 |
| Mar 31, 2025 | -0.52 |
| Dec 31, 2024 | -0.03 |
| Sep 30, 2024 | 0.08 |
| Jun 30, 2024 | 0.10 |
| Mar 31, 2024 | -0.45 |
| Dec 31, 2023 | -0.22 |
| Sep 30, 2023 | -0.31 |
| Jun 30, 2023 | -1.54 |
| Mar 31, 2023 | -1.17 |
| Dec 31, 2022 | -0.95 |
| Sep 30, 2022 | 0.19 |
| Jun 30, 2022 | 0.27 |
| Mar 31, 2022 | 0.23 |
| Dec 31, 2021 | 0.29 |
API Access
Funko EPS (Diluted) 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=eps-diluted&ticker=FNKO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=FNKO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();