Dollar General (DG) Operating Expenses (2010 - 2026)
Dollar General (DG) recorded Operating Expenses of $2.91 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.3% from $2.77 billion a year earlier and up 5.0% from the prior quarter.
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Analysis
Dollar General (DG) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Dollar General's Operating Expenses came in at $11.16 billion as of Jul 31, 2026, up 3.6% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $10.9 billion, up 5.8% from FY2025.
- Annual Operating Expenses has increased for 16 straight fiscal years, with a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $10.3 billion in FY2025 (+11.1%), $9.27 billion in FY2024 (+9.2%), $8.49 billion in FY2023 (+11.8%) and $7.59 billion in FY2022 (+6.0%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 7.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 17.6% in fiscal Q4 2025, against a decline of 0.7% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.77 billion (Q1 2027), $2.72 billion (Q4 2026) and $2.76 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 1.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.91 Bn |
| May 1, 2026 | 2.77 Bn |
| Jan 30, 2026 | 2.72 Bn |
| Oct 31, 2025 | 2.76 Bn |
| Aug 1, 2025 | 2.77 Bn |
| May 2, 2025 | 2.66 Bn |
| Jan 31, 2025 | 2.74 Bn |
| Nov 1, 2024 | 2.61 Bn |
| Aug 2, 2024 | 2.51 Bn |
| May 3, 2024 | 2.45 Bn |
| Feb 2, 2024 | 2.33 Bn |
| Nov 3, 2023 | 2.38 Bn |
| Aug 4, 2023 | 2.35 Bn |
| May 5, 2023 | 2.21 Bn |
| Feb 3, 2023 | 2.22 Bn |
| Oct 28, 2022 | 2.15 Bn |
| Jul 29, 2022 | 2.13 Bn |
| Apr 29, 2022 | 1.99 Bn |
| Jan 28, 2022 | 1.90 Bn |
| Oct 29, 2021 | 1.95 Bn |
API Access
Dollar General Operating Expenses 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=operating-expenses&ticker=DG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();