Ingles Markets (IMKTA) Receivables (2010 - 2026)
Ingles Markets' Receivables was $102.68 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 0.4% from $102.28 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Ingles Markets (IMKTA) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Receivables at Ingles Markets came in at $106.36 million, up 35.9% from FY2024.
- Receivables shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In earlier fiscal years, Receivables was $78.27 million in FY2024 (-27.2%), $107.57 million in FY2023 (+10.7%), $97.16 million in FY2022 (+2.2%) and $95.08 million in FY2021 (+16.9%).
- Quarterly Receivables has moved between $78.27 million (fiscal Q4 2024) and $120.82 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Receivables has increased for five straight quarters, with an average decline of 0.2% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was fiscal Q4 2025 (growth of 35.9%); the worst was fiscal Q4 2024 (a decline of 27.2%).
- Per Business Quant data, IMKTA's Receivables in the three fiscal quarters before Q3 2026 was $101.22 million (Q2 2026), $109.33 million (Q1 2026) and $106.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.75 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | - |
| 10 | Ingles Markets | 1.62 Bn | 1.62 Bn | 332.44 Mn | 102.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 102.68 Mn |
| Mar 28, 2026 | 101.22 Mn |
| Dec 27, 2025 | 109.33 Mn |
| Sep 27, 2025 | 106.36 Mn |
| Jun 28, 2025 | 102.28 Mn |
| Mar 29, 2025 | 99.20 Mn |
| Dec 28, 2024 | 104.71 Mn |
| Sep 28, 2024 | 78.27 Mn |
| Jun 29, 2024 | 99.61 Mn |
| Mar 30, 2024 | 109.44 Mn |
| Dec 30, 2023 | 116.75 Mn |
| Sep 30, 2023 | 107.57 Mn |
| Jun 24, 2023 | 100.82 Mn |
| Mar 25, 2023 | 96.84 Mn |
| Dec 24, 2022 | 120.82 Mn |
| Sep 24, 2022 | 97.16 Mn |
| Jun 25, 2022 | 99.37 Mn |
| Mar 26, 2022 | 98.01 Mn |
| Dec 25, 2021 | 103.03 Mn |
| Sep 25, 2021 | 95.08 Mn |
API Access
Ingles Markets 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=IMKTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "IMKTA", "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=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();