Host Digital (HOST) Change in Accured Expenses (2023 - 2026)
Host Digital (HOST) recorded Change in Accured Expenses of -$527,914 in Q2 2026, compared with $489,520 a year earlier.
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Analysis
Host Digital (HOST) Change in Accured Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, Host Digital's Change in Accured Expenses came in at -$540,509 as of Jun 30, 2026; for FY2025, it came in at $1.92 million, up 63.1% from FY2024.
- Across earlier years, Change in Accured Expenses came in at $1.18 million in FY2024 (-17.6%) and $1.43 million in FY2023.
- Quarterly Change in Accured Expenses has ranged from -$1.27 million in Q1 2024 to $1.84 million in Q1 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $394,512 (Q1 2026), $245,025 (Q4 2025) and -$652,132 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | -50.26 Mn |
| 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 | 5.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Host Digital | 4.42 Mn | -4.85 Mn | 6.41 Mn | -527,914.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -527,914.00 |
| Mar 31, 2026 | 394,512.00 |
| Dec 31, 2025 | 245,025.00 |
| Sep 30, 2025 | -652,132.00 |
| Jun 30, 2025 | 489,520.00 |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 575,168.00 |
| Jun 30, 2024 | 699,708.00 |
| Mar 31, 2024 | -1.27 Mn |
| Dec 31, 2023 | 1.55 Mn |
API Access
Host Digital Change in Accured Expenses 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=change-in-accured-expenses&ticker=HOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=HOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();