Sprouts Farmers Market (SFM) Total Non-Current Liabilities (2012 - 2026)
Sprouts Farmers Market's Total Non-Current Liabilities came in at $2.79 billion for Q2 2026, up 16.6% from $2.39 billion a year earlier but down 0.3% from the prior quarter.
Sprouts Farmers Market (SFM) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Sprouts Farmers Market's Total Non-Current Liabilities was $2.72 billion, up 19.1% from FY2024.
- Total Non-Current Liabilities has increased in each of the last three years, with a four-year compound annual growth rate of 9.3% (FY2021 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.28 billion in FY2024 (+6.4%), $2.14 billion in FY2023 (+7.8%), $1.99 billion in FY2022 and $1.9 billion in FY2021.
- The five-year range for quarterly Total Non-Current Liabilities is $1.99 billion (Q4 2022) to $2.79 billion (Q1 2026).
- Year-over-year, Total Non-Current Liabilities has increased for 11 consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 0.3% (Q2 2024) to 19.1% (Q4 2025).
- Business Quant data shows SFM's Total Non-Current Liabilities at $2.79 billion (Q1 2026), $2.72 billion (Q4 2025) and $2.54 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 50.26 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 4.95 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 10.33 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Sprouts Farmers Market | 6.22 Bn | 5.16 Bn | 900.65 Mn | 2.79 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.79 Bn |
| Mar 29, 2026 | 2.79 Bn |
| Dec 28, 2025 | 2.72 Bn |
| Sep 28, 2025 | 2.54 Bn |
| Jun 29, 2025 | 2.39 Bn |
| Mar 30, 2025 | 2.41 Bn |
| Dec 29, 2024 | 2.28 Bn |
| Sep 29, 2024 | 2.20 Bn |
| Jun 30, 2024 | 2.10 Bn |
| Mar 31, 2024 | 2.22 Bn |
| Dec 31, 2023 | 2.14 Bn |
| Oct 1, 2023 | 2.14 Bn |
| Jul 2, 2023 | 2.10 Bn |
| Apr 2, 2023 | 2.08 Bn |
| Jan 1, 2023 | 1.99 Bn |
| Oct 2, 2022 | 1.94 Bn |
| Jul 3, 2022 | 1.94 Bn |
| Apr 3, 2022 | 1.95 Bn |
| Jan 2, 2022 | 1.94 Bn |
| Oct 3, 2021 | 1.91 Bn |
Sprouts Farmers Market 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=SFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SFM", "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=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();