Shake Shack (SHAK) Receivables (2014 - 2026)
Shake Shack's (SHAK) quarterly Receivables came in at $34.7 million in Q3 2026, up 63.47% year-over-year from $21.2 million in Q3 2025, and up 18.81% quarter-over-quarter from $29.2 million in Q2 2026.
Shake Shack (SHAK) Receivables (2014 - 2026) Analysis & Trends
Shake Shack (SHAK) has reported Receivables for 13 consecutive years, with $34.7 million the latest figure, recorded in Q3 2026.
- On a quarterly basis, Receivables rose 63.47% year-over-year to $34.7 million in Q3 2026; TTM through Jul 2026 was $34.7 million, a 63.47% increase from a year earlier, with the FY2025 full-year figure at $40.9 million, up 79.74% from the prior year.
- Receivables was $34.7 million for Q3 2026 at Shake Shack, up from $29.2 million in the prior quarter.
- Over five years, Receivables peaked at $40.9 million in Q4 2025 and troughed at $11.8 million in Q1 2022.
- A 5-year average of $19.3 million and a median of $16.3 million in 2024 frame the typical range for Receivables.
- Across the five-year window, Receivables fell 6.79% in 2022 and jumped 79.74% in 2025, its largest moves.
- Over 5 years, Receivables stood at $15.5 million in 2022, then climbed by 26.72% to $19.7 million in 2023, then increased by 15.63% to $22.8 million in 2024, then jumped by 79.74% to $40.9 million in 2025, then fell by 15.29% to $34.7 million in 2026.
- The last three Receivables figures came in at $34.7 million (Q3 2026), $29.2 million (Q2 2026), and $40.9 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | 100.31 Mn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | 136.00 Mn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 74.14 Mn |
| 10 | Shake Shack | 2.36 Bn | 2.08 Bn | 354.50 Mn | 34.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 34.66 Mn |
| Apr 1, 2026 | 29.17 Mn |
| Dec 31, 2025 | 40.91 Mn |
| Sep 24, 2025 | 20.61 Mn |
| Jun 25, 2025 | 21.20 Mn |
| Mar 26, 2025 | 18.28 Mn |
| Dec 25, 2024 | 22.76 Mn |
| Sep 25, 2024 | 16.74 Mn |
| Jun 26, 2024 | 15.91 Mn |
| Mar 27, 2024 | 14.46 Mn |
| Dec 27, 2023 | 19.69 Mn |
| Sep 27, 2023 | 13.89 Mn |
| Jun 28, 2023 | 14.33 Mn |
| Mar 29, 2023 | 14.20 Mn |
| Dec 28, 2022 | 15.53 Mn |
| Sep 28, 2022 | 12.00 Mn |
| Jun 29, 2022 | 12.03 Mn |
| Mar 30, 2022 | 11.78 Mn |
| Dec 29, 2021 | 16.67 Mn |
| Sep 29, 2021 | 11.31 Mn |
Shake Shack Receivables 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=receivables&ticker=SHAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();