Transuite.Org (TRSO) Change in Accured Expenses (2025 - 2026)
Transuite.Org's Change in Accured Expenses was $51,131 in Q1 2026, up 172.1% from $18,789 a year earlier but down 16.5% from the prior quarter.
Transuite.Org (TRSO) Change in Accured Expenses (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Transuite.Org's Change in Accured Expenses was $104,790 through Mar 31, 2026; for FY2025, it was $72,448.
- In earlier years, Change in Accured Expenses was $35,149 in FY2024 (+269.6%) and $9,510 in FY2023.
- Quarterly Change in Accured Expenses has moved between -$32,257 (Q2 2025) and $61,224 (Q4 2025) over five years.
- Per Business Quant data, TRSO's Change in Accured Expenses in the three quarters before Q1 2026 was $61,224 (Q4 2025), $24,692 (Q3 2025) and -$32,257 (Q2 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 | Transuite.Org | 728,416.83 | 661,388.83 | 109,624.00 | 51,131.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 51,131.00 |
| Dec 31, 2025 | 61,224.00 |
| Sep 30, 2025 | 24,692.00 |
| Jun 30, 2025 | -32,257.00 |
| Mar 31, 2025 | 18,789.00 |
Transuite.Org 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=TRSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TRSO", "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=TRSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();