Albertsons Companies (ACI) Receivables (2017 - 2026)
Albertsons Companies' Receivables came in at $932.6 million for fiscal Q4 2026 (quarter ended Feb 28, 2026), up 11.7% from $834.8 million a year earlier but down 8.5% from the prior quarter.
Albertsons Companies (ACI) Receivables (2017 - 2026) Analysis & Trends
Going back to fiscal Q4 2017, Albertsons Companies' Receivables data covers 34 quarters.
- Receivables has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $834.8 million in FY2025 (+15.2%), $724.4 million in FY2024 (+5.4%), $687.6 million in FY2023 (+22.7%) and $560.6 million in FY2022 (+1.8%).
- The five-year range for quarterly Receivables is $544.7 million (fiscal Q2 2022) to $1.02 billion (fiscal Q3 2026).
- Year-over-year, Receivables has increased for 15 consecutive quarters, with growth averaging 14.2% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q2 2025 (growth of 26.4%), and the weakest in fiscal Q1 2023 (a decline of 8.6%).
- Business Quant data shows ACI's Receivables at $1.02 billion (Q3 2026), $968.8 million (Q2 2026) and $908.9 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 3.75 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | - |
| 10 | Albertsons Companies | 5.76 Bn | 4.94 Bn | 5.51 Bn | 932.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 932.60 Mn |
| Nov 29, 2025 | 1.02 Bn |
| Sep 6, 2025 | 968.80 Mn |
| Jun 14, 2025 | 908.90 Mn |
| Feb 22, 2025 | 834.80 Mn |
| Nov 30, 2024 | 929.00 Mn |
| Sep 7, 2024 | 897.60 Mn |
| Jun 15, 2024 | 809.40 Mn |
| Feb 24, 2024 | 724.40 Mn |
| Dec 2, 2023 | 828.40 Mn |
| Sep 9, 2023 | 710.10 Mn |
| Jun 17, 2023 | 684.30 Mn |
| Feb 25, 2023 | 687.60 Mn |
| Dec 3, 2022 | 704.80 Mn |
| Sep 10, 2022 | 651.70 Mn |
| Jun 18, 2022 | 565.30 Mn |
| Feb 26, 2022 | 560.60 Mn |
| Dec 4, 2021 | 607.40 Mn |
| Sep 11, 2021 | 544.70 Mn |
| Jun 19, 2021 | 618.70 Mn |
Albertsons Companies 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=ACI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "ACI", "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=ACI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();