Shake Shack (SHAK) Retained Earnings (2015 - 2026)
Shake Shack (SHAK) recorded Retained Earnings of $88.1 million in Q2 2026, up 82.1% from $48.38 million a year earlier and up 21.7% from the prior quarter.
Shake Shack (SHAK) Retained Earnings (2015 - 2026) Analysis & Trends
At the end of FY2025, Shake Shack reported Retained Earnings of $72.71 million, up 169.5% from FY2024.
- Annual Retained Earnings has a five-year compound annual growth rate of 42.9% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $26.98 million in FY2024 (+60.8%), $16.78 million in FY2023, -$3.49 million in FY2022 and $17.74 million in FY2021 (+45.3%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q1 2015.
- On a year-over-year basis, Retained Earnings has increased for eight consecutive quarters, with growth averaging 113.1% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 233.1% in Q3 2025, against a decline of 69.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $72.42 million (Q1 2026), $72.71 million (Q4 2025) and $60.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 71.99 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | -8.54 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | -6.81 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | -67.16 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.18 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -259.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 1.70 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.56 Bn |
| 10 | Shake Shack | 2.84 Bn | 1.50 Bn | - | 88.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 88.10 Mn |
| Apr 1, 2026 | 72.42 Mn |
| Dec 31, 2025 | 72.71 Mn |
| Sep 24, 2025 | 60.88 Mn |
| Jun 25, 2025 | 48.38 Mn |
| Mar 26, 2025 | 31.23 Mn |
| Dec 25, 2024 | 26.98 Mn |
| Sep 25, 2024 | 18.27 Mn |
| Jun 26, 2024 | 28.49 Mn |
| Mar 27, 2024 | 18.82 Mn |
| Dec 27, 2023 | 16.78 Mn |
| Sep 27, 2023 | 9.55 Mn |
| Jun 28, 2023 | 1.93 Mn |
| Mar 29, 2023 | -5.02 Mn |
| Dec 28, 2022 | -3.49 Mn |
| Sep 28, 2022 | 4.37 Mn |
| Jun 29, 2022 | 6.39 Mn |
| Mar 30, 2022 | 7.58 Mn |
| Dec 29, 2021 | 17.74 Mn |
| Sep 29, 2021 | 13.28 Mn |
Shake Shack Retained 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=retained-earnings&ticker=SHAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();