Host Digital (HOST) Receivables (2023 - 2026)
Host Digital's Receivables was $453,253 in Q2 2026, down 89.2% from $4.21 million a year earlier but up 13.8% from the prior quarter.
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Analysis
Host Digital (HOST) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Host Digital came in at $4 million, up 471.2% from FY2024.
- In earlier years, Receivables was $700,268 in FY2024 (-90.7%) and $7.55 million in FY2023.
- Quarterly Receivables has moved between $398,319 (Q1 2026) and $7.55 million (Q4 2023) over five years.
- Compared with a year earlier, Receivables was higher in 1 of the last four quarters, with growth averaging 52.0%.
- Per Business Quant data, HOST's Receivables in the three quarters before Q2 2026 was $398,319 (Q1 2026), $4 million (Q4 2025) and $6.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.75 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | - |
| 10 | Host Digital | 4.55 Mn | -4.72 Mn | 6.41 Mn | 453,253.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 453,253.00 |
| Mar 31, 2026 | 398,319.00 |
| Dec 31, 2025 | 4.00 Mn |
| Sep 30, 2025 | 6.38 Mn |
| Jun 30, 2025 | 4.21 Mn |
| Mar 31, 2025 | 2.36 Mn |
| Dec 31, 2024 | 700,268.00 |
| Sep 30, 2024 | 446,841.00 |
| Dec 31, 2023 | 7.55 Mn |
API Access
Host Digital Receivables 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=receivables&ticker=HOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "HOST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=HOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();