Host Digital (HOST) Cash & Equivalents (2023 - 2026)
Host Digital (HOST) reported Cash & Equivalents of $900,000 for Q2 2026, down 80.9% from $4.7 million a year earlier and down 61.7% from the prior quarter.
Host Digital (HOST) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, Host Digital posted Cash & Equivalents of $3.02 million, up 43.8% from FY2024.
- By year, Cash & Equivalents came in at $2.1 million in FY2024 (+47.6%) and $1.42 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents in data going back to Q4 2023.
- Year over year, Cash & Equivalents gained in four of the last five quarters, with growth averaging 21.6%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.35 million (Q1 2026), $3.02 million (Q4 2025) and $3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Host Digital | 4.42 Mn | -4.85 Mn | 6.41 Mn | 900,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 900,000.00 |
| Mar 31, 2026 | 2.35 Mn |
| Dec 31, 2025 | 3.02 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 4.70 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Dec 31, 2024 | 2.10 Mn |
| Sep 30, 2024 | 1.80 Mn |
| Dec 31, 2023 | 1.42 Mn |
Host Digital 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=HOST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=HOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();