Dollar General (DG) Prepaid Assets (2011 - 2026)
Dollar General's Prepaid Assets was $564.06 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 33.4% from $422.69 million a year earlier and up 20.9% from the prior quarter.
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Analysis
Dollar General (DG) Prepaid Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Prepaid Assets at Dollar General came in at $410.28 million, up 4.4% from FY2025.
- Prepaid Assets has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 15.5% (FY2021 to FY2026).
- In earlier fiscal years, Prepaid Assets was $392.98 million in FY2025 (+7.1%), $366.91 million in FY2024 (+21.1%), $302.93 million in FY2023 (+22.5%) and $247.3 million in FY2022 (+24.0%).
- The fiscal Q2 2027 figure marks the highest quarterly Prepaid Assets in data going back to fiscal Q4 2011.
- Compared with a year earlier, Prepaid Assets has increased for four straight quarters, with growth averaging 9.2% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q3 2022 (growth of 39.0%); the worst was fiscal Q2 2026 (a decline of 3.8%).
- Per Business Quant data, DG's Prepaid Assets in the three fiscal quarters before Q2 2027 was $466.44 million (Q1 2027), $410.28 million (Q4 2026) and $419.22 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 564.06 Mn |
| May 1, 2026 | 466.44 Mn |
| Jan 30, 2026 | 410.28 Mn |
| Oct 31, 2025 | 419.22 Mn |
| Aug 1, 2025 | 422.69 Mn |
| May 2, 2025 | 424.29 Mn |
| Jan 31, 2025 | 392.98 Mn |
| Nov 1, 2024 | 404.59 Mn |
| Aug 2, 2024 | 439.49 Mn |
| May 3, 2024 | 406.94 Mn |
| Feb 2, 2024 | 366.91 Mn |
| Nov 3, 2023 | 352.01 Mn |
| Aug 4, 2023 | 377.77 Mn |
| May 5, 2023 | 355.69 Mn |
| Feb 3, 2023 | 302.93 Mn |
| Oct 28, 2022 | 321.48 Mn |
| Jul 29, 2022 | 327.49 Mn |
| Apr 29, 2022 | 280.28 Mn |
| Jan 28, 2022 | 247.30 Mn |
| Oct 29, 2021 | 273.94 Mn |
API Access
Dollar General Prepaid Assets 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=prepaid-assets&ticker=DG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=DG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();