Albertsons Companies (ACI) EBITDA (2017 - 2026)
Albertsons Companies (ACI) posted EBITDA of -$23.4 million for fiscal Q4 2026 (quarter ended Feb 28, 2026), compared with $700.9 million a year earlier.
Powered by 
Analysis
Albertsons Companies (ACI) EBITDA (2017 - 2026) Analysis & Trends
For FY2026 (ended Feb 28, 2026), Albertsons Companies' EBITDA came in at $2.67 billion, down 21.1% from FY2025.
- Annual EBITDA has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -3.4% (FY2021 to FY2026).
- In prior fiscal years, Albertsons Companies' EBITDA was $3.38 billion in FY2025 (-12.5%), $3.86 billion in FY2024 (-6.5%), $4.13 billion in FY2023 (-0.3%) and $4.14 billion in FY2022 (+30.4%).
- The fiscal Q4 2026 figure stands as the lowest quarterly EBITDA in data going back to fiscal Q1 2018.
- On a year-over-year basis, EBITDA increased in two of the last seven quarters, with an average decline of 7.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2022, with growth of 453.2%; the weakest was fiscal Q4 2023, with a decline of 20.0%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $925.7 million (Q3 2026), $735.2 million (Q2 2026) and $1.03 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 961.60 Bn | 918.03 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 451.41 Bn | 374.69 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 1.71 Bn |
| 4 | Sysco | 40.11 Bn | 34.36 Bn | 4.13 Bn | 1.27 Bn |
| 5 | Dollar General | 30.55 Bn | 25.23 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 26.34 Bn | 24.34 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 24.96 Bn | 21.58 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.77 Bn | 22.57 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 18.16 Bn | 17.32 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Albertsons Companies | 6.72 Bn | 5.77 Bn | 5.06 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | -23.40 Mn |
| Nov 29, 2025 | 925.70 Mn |
| Sep 6, 2025 | 735.20 Mn |
| Jun 14, 2025 | 1.03 Bn |
| Feb 22, 2025 | 700.90 Mn |
| Nov 30, 2024 | 945.30 Mn |
| Sep 7, 2024 | 717.60 Mn |
| Jun 15, 2024 | 1.02 Bn |
| Feb 24, 2024 | 848.90 Mn |
| Dec 2, 2023 | 984.40 Mn |
| Sep 9, 2023 | 872.60 Mn |
| Jun 17, 2023 | 1.16 Bn |
| Feb 25, 2023 | 863.70 Mn |
| Dec 3, 2022 | 1.01 Bn |
| Sep 10, 2022 | 943.10 Mn |
| Jun 18, 2022 | 1.31 Bn |
| Feb 26, 2022 | 1.08 Bn |
| Dec 4, 2021 | 994.50 Mn |
| Sep 11, 2021 | 864.90 Mn |
| Jun 19, 2021 | 1.19 Bn |
API Access
Albertsons Companies EBITDA 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=ebitda&ticker=ACI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ACI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();