Cloudastructure (CSAI) Change in Accrued Expenses (2024 - 2026)
Cloudastructure (CSAI) recorded Change in Accrued Expenses of $48,000 in Q2 2026, up 140.0% from $20,000 a year earlier and up 17.1% from the prior quarter.
Cloudastructure (CSAI) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Cloudastructure's Change in Accrued Expenses came in at $77,000 as of Jun 30, 2026; for FY2025, it was $8,000.
- Across earlier years, Change in Accrued Expenses came in at -$48,000 in FY2024 and $69,000 in FY2023.
- Quarterly Change in Accrued Expenses has ranged from -$166,000 in Q4 2025 to $154,000 in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $41,000 (Q1 2026), -$166,000 (Q4 2025) and $154,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 108.85 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | -14.80 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | -3.63 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 26.42 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 38.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Cloudastructure | 1.28 Mn | -23.13 Mn | 610,000.00 | 48,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48,000.00 |
| Mar 31, 2026 | 41,000.00 |
| Dec 31, 2025 | -166,000.00 |
| Sep 30, 2025 | 154,000.00 |
| Jun 30, 2025 | 20,000.00 |
| Dec 31, 2024 | -45,000.00 |
| Sep 30, 2024 | -58,000.00 |
| Jun 30, 2024 | 94,000.00 |
| Mar 31, 2024 | -39,000.00 |
Cloudastructure Change in Accrued 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=CSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CSAI", "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=CSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();