Infleqtion (INFQ) Change in Accured Expenses (2024 - 2026)
Infleqtion (INFQ) reported Change in Accured Expenses of $35.55 million for Q2 2026, compared with -$239,000 a year earlier.
Infleqtion (INFQ) Change in Accured Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Infleqtion's Change in Accured Expenses came in at $36.55 million; for FY2025, it was -$1.42 million.
- By year, Change in Accured Expenses came in at $4.8 million in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses in data going back to Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$314,000 (Q1 2026), -$1.01 million (Q4 2025) and $2.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Infleqtion | 2.95 Bn | 2.48 Bn | 2.17 Mn | 35.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.55 Mn |
| Mar 31, 2026 | -314,000.00 |
| Dec 31, 2025 | -1.01 Mn |
| Sep 30, 2025 | 2.33 Mn |
| Jun 30, 2025 | -239,000.00 |
| Mar 31, 2025 | -2.49 Mn |
| Dec 31, 2024 | 4.79 Mn |
| Mar 31, 2024 | 6,164.00 |
Infleqtion 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=INFQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "INFQ", "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=INFQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();