Hasbro (HAS) EV to EBITDA (2010 - 2026)
Hasbro's EV to EBITDA was 8.29 in Q2 2026, down 82.4% from the prior quarter.
Analysis
Hasbro (HAS) EV to EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Hasbro's EV to EBITDA was 6.07 through Jun 28, 2026; for FY2025, it was 73.40, up 764.3% from FY2024.
- In earlier years, EV to EBITDA was 8.49 in FY2024, 11.81 in FY2022 (-2.3%) and 12.09 in FY2021 (-18.5%).
- The Q2 2026 figure marks the lowest quarterly EV to EBITDA since Q1 2015.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2025 (growth of 764.3%); the worst was Q4 2021 (a decline of 18.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn |
| 10 | Smith & Wesson Brands | 629.10 Mn | 541.36 Mn | 32.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.29 |
| Mar 29, 2026 | 47.10 |
| Dec 28, 2025 | 73.40 |
| Mar 30, 2025 | 8.74 |
| Dec 29, 2024 | 8.49 |
| Jul 2, 2023 | 76.49 |
| Apr 2, 2023 | 13.29 |
| Dec 25, 2022 | 11.81 |
| Sep 25, 2022 | 9.72 |
| Jun 26, 2022 | 9.82 |
| Mar 27, 2022 | 10.69 |
| Dec 26, 2021 | 12.09 |
| Sep 26, 2021 | 11.34 |
| Jun 27, 2021 | 11.52 |
| Mar 28, 2021 | 12.99 |
| Dec 27, 2020 | 14.83 |
| Sep 27, 2020 | 12.56 |
| Jun 28, 2020 | 12.58 |
| Mar 29, 2020 | 9.79 |
| Dec 29, 2019 | 11.88 |
API Access
Hasbro EV to 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=ev-to-ebitda&ticker=HAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "HAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=HAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();