Shake Shack (SHAK) Price to Earnings (2015 - 2026)
Shake Shack's (SHAK) quarterly Price to Earnings came in at 135.95 in Q3 2026, down 53.37% year-over-year from 291.55 in Q3 2025, and up 101.09% quarter-over-quarter from 12446.79 in Q2 2026.
Shake Shack (SHAK) Price to Earnings (2015 - 2026) Analysis & Trends
Shake Shack (SHAK) has reported Price to Earnings for 12 consecutive years, with 135.95 the latest figure, recorded in Q3 2026.
- On a quarterly basis, Price to Earnings fell 53.37% year-over-year to 135.95 in Q3 2026; TTM through Jul 2026 was 53.01, a 79.13% decrease from a year earlier, with the FY2025 full-year figure at 71.46, down 86.21% from the prior year.
- Price to Earnings was 135.95 for Q3 2026 at Shake Shack, up from 12446.79 in the prior quarter.
- Over five years, Price to Earnings peaked at 1866.84 in Q1 2024 and troughed at 12446.79 in Q2 2026.
- A 5-year average of 607.39 and a median of 264.03 in 2023 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings jumped 302.97% in 2023 and slumped 1596.38% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 203.63 in 2022, then jumped by 302.97% to 413.3 in 2023, then jumped by 37.15% to 566.83 in 2024, then plunged by 55.65% to 251.36 in 2025, then plunged by 45.92% to 135.95 in 2026.
- The last three Price to Earnings figures came in at 135.95 (Q3 2026), 12446.79 (Q2 2026), and 251.36 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Shake Shack | 2.36 Bn | 2.08 Bn | 354.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 135.95 |
| Apr 1, 2026 | -12,446.79 |
| Dec 31, 2025 | 251.36 |
| Sep 24, 2025 | 279.73 |
| Jun 25, 2025 | 291.55 |
| Mar 26, 2025 | 831.79 |
| Dec 25, 2024 | 566.83 |
| Sep 25, 2024 | -381.03 |
| Jun 26, 2024 | 343.46 |
| Mar 27, 2024 | 1,866.84 |
| Dec 27, 2023 | 413.30 |
| Sep 27, 2023 | 276.69 |
| Jun 28, 2023 | 419.83 |
| Mar 29, 2023 | -1,307.02 |
| Dec 28, 2022 | -203.63 |
| Sep 28, 2022 | -825.37 |
| Jun 29, 2022 | -1,211.75 |
| Mar 30, 2022 | -234.78 |
| Dec 29, 2021 | -438.73 |
| Sep 29, 2021 | -1,298.02 |
Shake Shack Price to Earnings 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=price-to-earnings&ticker=SHAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SHAK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();