Sprouts Farmers Market (SFM) Other Non-Current Liabilities (2012 - 2026)
Sprouts Farmers Market's Other Non-Current Liabilities was $43.8 million in Q2 2026, up 18.0% from $37.13 million a year earlier and up 7.2% from the prior quarter.
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Analysis
Sprouts Farmers Market (SFM) Other Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Sprouts Farmers Market came in at $40.28 million, up 5.3% from FY2024.
- Other Non-Current Liabilities shows a four-year compound annual growth rate of 14.7% (FY2021 to FY2025).
- In earlier years, Other Non-Current Liabilities was $38.26 million in FY2024 (+5.5%), $36.27 million in FY2023 (-0.2%), $36.34 million in FY2022 and $23.29 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Other Non-Current Liabilities since Q3 2019.
- Compared with a year earlier, Other Non-Current Liabilities has increased for four straight quarters, with growth averaging 4.1% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q2 2026 (growth of 18.0%); the worst was Q2 2025 (a decline of 4.0%).
- Per Business Quant data, SFM's Other Non-Current Liabilities in the three quarters before Q2 2026 was $40.85 million (Q1 2026), $40.28 million (Q4 2025) and $37.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Sprouts Farmers Market | 6.22 Bn | 5.16 Bn | 900.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 43.80 Mn |
| Mar 29, 2026 | 40.85 Mn |
| Dec 28, 2025 | 40.28 Mn |
| Sep 28, 2025 | 37.78 Mn |
| Jun 29, 2025 | 37.13 Mn |
| Mar 30, 2025 | 37.16 Mn |
| Dec 29, 2024 | 38.26 Mn |
| Sep 29, 2024 | 37.56 Mn |
| Jun 30, 2024 | 38.66 Mn |
| Mar 31, 2024 | 37.56 Mn |
| Dec 31, 2023 | 36.27 Mn |
| Oct 1, 2023 | 38.01 Mn |
| Jul 2, 2023 | 36.48 Mn |
| Apr 2, 2023 | 36.42 Mn |
| Jan 1, 2023 | 36.34 Mn |
| Oct 2, 2022 | 38.49 Mn |
| Jul 3, 2022 | 38.25 Mn |
| Apr 3, 2022 | 35.74 Mn |
| Jan 2, 2022 | 23.39 Mn |
| Oct 3, 2021 | 43.56 Mn |
API Access
Sprouts Farmers Market Other 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=other-non-current-liabilities&ticker=SFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();