Ingles Markets (IMKTA) Net Cash Flow (2010 - 2026)
Ingles Markets (IMKTA) recorded Net Cash Flow of $37.08 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 4.3% from $38.76 million a year earlier and down 34.2% from the prior quarter.
Ingles Markets (IMKTA) Net Cash Flow (2010 - 2026) Analysis & Trends
On a TTM basis, Ingles Markets' Net Cash Flow came in at $119 million as of Jun 27, 2026; for FY2025 (ended Sep 27, 2025), it was $12.56 million, down 50.1% from FY2024.
- Annual Net Cash Flow has declined for three straight fiscal years.
- Across earlier fiscal years, Net Cash Flow came in at $25.15 million in FY2024 (-59.0%), $61.34 million in FY2023 (-68.8%), $196.89 million in FY2022 (+210.5%) and $63.41 million in FY2021.
- Quarterly Net Cash Flow has ranged from -$84.18 million in fiscal Q1 2025 to $141.15 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Net Cash Flow rose in two of the last four quarters, with growth averaging 18.7%.
- Peak year-over-year performance for Net Cash Flow in the last five years was growth of 287.0% in fiscal Q3 2022, against a decline of 66.1% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $56.32 million (Q2 2026), -$4.56 million (Q1 2026) and $30.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 275.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 1.58 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 71.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 236.48 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 1.07 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 51.70 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 7.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 7.32 Mn |
| 10 | Ingles Markets | 1.61 Bn | 1.61 Bn | 332.44 Mn | 37.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 37.08 Mn |
| Mar 28, 2026 | 56.32 Mn |
| Dec 27, 2025 | -4.56 Mn |
| Sep 27, 2025 | 30.16 Mn |
| Jun 28, 2025 | 38.76 Mn |
| Mar 29, 2025 | 27.82 Mn |
| Dec 28, 2024 | -84.18 Mn |
| Sep 28, 2024 | -1.07 Mn |
| Jun 29, 2024 | 52.74 Mn |
| Mar 30, 2024 | 26.98 Mn |
| Dec 30, 2023 | -53.51 Mn |
| Sep 30, 2023 | 47.80 Mn |
| Jun 24, 2023 | 30.44 Mn |
| Mar 25, 2023 | -5.28 Mn |
| Dec 24, 2022 | -11.62 Mn |
| Sep 24, 2022 | 141.15 Mn |
| Jun 25, 2022 | 60.42 Mn |
| Mar 26, 2022 | 37.98 Mn |
| Dec 25, 2021 | -42.67 Mn |
| Sep 25, 2021 | 45.84 Mn |
Ingles Markets Net Cash Flow 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=net-cash-flow&ticker=IMKTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=IMKTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();