Dollar General (DG) EBITDA (2010 - 2026)
Dollar General's EBITDA came in at $1.05 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 22.8% from $852.23 million a year earlier and up 15.1% from the prior quarter.
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Analysis
Dollar General (DG) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Dollar General reported EBITDA of $3.52 billion, up 25.9% year-over-year; for FY2026 (ended Jan 30, 2026), it was $3.25 billion, up 21.0% from FY2025.
- EBITDA carries a five-year compound annual growth rate of -4.7% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $2.69 billion in FY2025 (-18.5%), $3.3 billion in FY2024 (-18.7%), $4.05 billion in FY2023 (+5.0%) and $3.86 billion in FY2022 (-6.5%).
- The fiscal Q2 2027 figure represents the highest quarterly EBITDA since fiscal Q4 2023.
- Year-over-year, EBITDA has increased for six consecutive quarters, with growth averaging 10.6% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2026 (growth of 60.0%), and the weakest in fiscal Q4 2025 (a decline of 31.7%).
- Business Quant data shows DG's EBITDA at $909.35 million (Q1 2027), $876.59 million (Q4 2026) and $692.15 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.41 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 1.24 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 601.08 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 537.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.05 Bn |
| May 1, 2026 | 909.35 Mn |
| Jan 30, 2026 | 876.59 Mn |
| Oct 31, 2025 | 692.15 Mn |
| Aug 1, 2025 | 852.23 Mn |
| May 2, 2025 | 828.91 Mn |
| Jan 31, 2025 | 547.81 Mn |
| Nov 1, 2024 | 570.80 Mn |
| Aug 2, 2024 | 788.76 Mn |
| May 3, 2024 | 778.40 Mn |
| Feb 2, 2024 | 802.63 Mn |
| Nov 3, 2023 | 649.00 Mn |
| Aug 4, 2023 | 900.69 Mn |
| May 5, 2023 | 942.77 Mn |
| Feb 3, 2023 | 1.13 Bn |
| Oct 28, 2022 | 918.34 Mn |
| Jul 29, 2022 | 1.09 Bn |
| Apr 29, 2022 | 918.72 Mn |
| Jan 28, 2022 | 963.04 Mn |
| Oct 29, 2021 | 827.85 Mn |
API Access
Dollar General 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=DG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "DG", "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=DG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();