Dollar General (DG) Cash & Equivalents (2010 - 2026)
Dollar General (DG) recorded Cash & Equivalents of $1.59 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 23.7% from $1.28 billion a year earlier and up 17.5% from the prior quarter.
Dollar General (DG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Dollar General reported Cash & Equivalents of $1.14 billion, up 22.1% from FY2025.
- Annual Cash & Equivalents has increased for four straight fiscal years, though with a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $932.58 million in FY2025 (+73.6%), $537.28 million in FY2024 (+40.8%), $381.58 million in FY2023 (+10.7%) and $344.83 million in FY2022 (-75.0%).
- The fiscal Q2 2027 figure is the highest quarterly Cash & Equivalents since fiscal Q3 2021.
- On a year-over-year basis, Cash & Equivalents has increased for 13 consecutive quarters, with growth averaging 47.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 246.4% in fiscal Q2 2025, against a decline of 77.8% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.35 billion (Q1 2027), $1.14 billion (Q4 2026) and $1.24 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Performance Food | 14.34 Bn | 14.12 Bn | 2.17 Bn | 92.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.59 Bn |
| May 1, 2026 | 1.35 Bn |
| Jan 30, 2026 | 1.14 Bn |
| Oct 31, 2025 | 1.24 Bn |
| Aug 1, 2025 | 1.28 Bn |
| May 2, 2025 | 850.02 Mn |
| Jan 31, 2025 | 932.58 Mn |
| Nov 1, 2024 | 537.26 Mn |
| Aug 2, 2024 | 1.22 Bn |
| May 3, 2024 | 720.70 Mn |
| Feb 2, 2024 | 537.28 Mn |
| Nov 3, 2023 | 365.45 Mn |
| Aug 4, 2023 | 353.02 Mn |
| May 5, 2023 | 313.06 Mn |
| Feb 3, 2023 | 381.58 Mn |
| Oct 28, 2022 | 362.73 Mn |
| Jul 29, 2022 | 326.26 Mn |
| Apr 29, 2022 | 335.61 Mn |
| Jan 28, 2022 | 344.83 Mn |
| Oct 29, 2021 | 488.66 Mn |
Dollar General Cash & Equivalents 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=cash-and-equivalents&ticker=DG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();