Gloo Holdings (GLOO) Change in Accured Expenses (2025 - 2026)
Gloo Holdings (GLOO) posted Change in Accured Expenses of $4.24 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 175.8% from $1.54 million a year earlier.
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Analysis
Gloo Holdings (GLOO) Change in Accured Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Accured Expenses at Gloo Holdings was $5.29 million; for FY2026 (ended Jan 31, 2026), it came in at $3.82 million.
- In prior fiscal years, Gloo Holdings' Change in Accured Expenses was -$904,000 in FY2025 and $2.54 million in FY2024.
- Quarterly Change in Accured Expenses has run from a low of -$5.26 million in fiscal Q4 2026 to a high of $8.92 million in fiscal Q3 2026 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$2.61 million (Q1 2027), -$5.26 million (Q4 2026) and $8.92 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Gloo Holdings | 335.39 Mn | 209.31 Mn | 16.78 Mn | 4.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.24 Mn |
| Apr 30, 2026 | -2.61 Mn |
| Jan 31, 2026 | -5.26 Mn |
| Oct 31, 2025 | 8.92 Mn |
| Jul 31, 2025 | 1.54 Mn |
| Apr 30, 2025 | -1.37 Mn |
| Jan 31, 2025 | 754,000.00 |
API Access
Gloo Holdings 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=GLOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GLOO", "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=GLOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();