Shake Shack (SHAK) Total Non-Current Liabilities (2014 - 2026)
Shake Shack's Total Non-Current Liabilities was $1.13 billion in Q2 2026, up 12.5% from $1.01 billion a year earlier and up 1.4% from the prior quarter.
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Analysis
Shake Shack (SHAK) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Shake Shack came in at $1.1 billion, up 14.8% from FY2024.
- Total Non-Current Liabilities has now increased for ten consecutive years, with a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $956.33 million in FY2024 (+6.2%), $900.87 million in FY2023 (+7.2%), $840.22 million in FY2022 (+6.6%) and $787.93 million in FY2021 (+68.4%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 42 straight quarters, with growth averaging 10.1% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 5.8% (Q3 2023) and 68.4% (Q4 2021) over the last five years.
- Per Business Quant data, SHAK's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.12 billion (Q1 2026), $1.1 billion (Q4 2025) and $1.04 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.88 Bn |
| 10 | Shake Shack | 2.84 Bn | 1.50 Bn | - | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 1, 2026 | 1.11 Bn |
| Apr 1, 2026 | 1.09 Bn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 24, 2025 | 1.01 Bn |
| Jun 25, 2025 | 977.26 Mn |
| Mar 26, 2025 | 952.21 Mn |
| Dec 25, 2024 | 928.50 Mn |
| Sep 25, 2024 | 921.48 Mn |
| Jun 26, 2024 | 901.85 Mn |
| Mar 27, 2024 | 883.69 Mn |
| Dec 27, 2023 | 874.24 Mn |
| Sep 27, 2023 | 860.92 Mn |
| Jun 28, 2023 | 843.88 Mn |
| Mar 29, 2023 | 829.46 Mn |
| Dec 28, 2022 | 819.53 Mn |
| Sep 28, 2022 | 818.04 Mn |
| Jun 29, 2022 | 795.99 Mn |
| Mar 30, 2022 | 769.25 Mn |
| Dec 29, 2021 | 765.15 Mn |
| Sep 29, 2021 | 740.23 Mn |
API Access
Shake Shack Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SHAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SHAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();