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.
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 | 950.42 Bn | 906.86 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 443.14 Bn | 366.42 Bn | 12.19 Bn | 3.96 Bn |
| 3 | Sysco | 39.46 Bn | 33.70 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 39.06 Bn | 25.21 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 29.97 Bn | 24.65 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 26.18 Bn | 24.18 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 24.09 Bn | 20.71 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.24 Bn | 22.04 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 17.34 Bn | 16.50 Bn | 1.68 Bn | - |
| 10 | Host Digital | 1.57 Mn | -7.70 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_KEY
import 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();