Transuite.Org (TRSO) Other Operating Expenses (2023 - 2026)
Transuite.Org (TRSO) reported Other Operating Expenses of $3.33 million for Q1 2026, up 594.8% from $479,997 a year earlier.
Transuite.Org (TRSO) Other Operating Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Transuite.Org's Other Operating Expenses came in at $25.36 million; for FY2025, it was $22.5 million.
- By year, Other Operating Expenses came in at $215,396 in FY2024 (+610.2%) and $30,327 in FY2023.
- Five-year quarterly Other Operating Expenses spans a low of -$5.55 million in Q4 2025 and a high of $20.93 million in Q3 2025.
- Per Business Quant data, the three quarters before Q1 2026 came in at -$5.55 million (Q4 2025), $20.93 million (Q3 2025) and $6.64 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 283.28 Bn | 268.35 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 256.80 Bn | 237.20 Bn | 1.10 Bn |
| 3 | Fortinet | 131.22 Bn | 117.15 Bn | 1.64 Bn |
| 4 | Snowflake | 111.69 Bn | 99.01 Bn | 1.04 Bn |
| 5 | Datadog | 96.18 Bn | 77.82 Bn | 881.34 Mn |
| 6 | Zscaler | 39.49 Bn | 25.61 Bn | - |
| 7 | Okta | 37.27 Bn | 27.37 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 33.58 Bn | 28.11 Bn | 546.45 Mn |
| 9 | MongoDB | 29.47 Bn | 19.94 Bn | 569.77 Mn |
| 10 | Transuite.Org | 728,012.15 | 705,632.15 | 109,624.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 111.00 |
| Dec 31, 2025 | 9.18 Mn |
| Sep 30, 2025 | 20.93 Mn |
| Jun 30, 2025 | 1,276.00 |
| Aug 31, 2024 | 1,487.00 |
| May 31, 2024 | 1,991.00 |
| Feb 29, 2024 | 1,329.00 |
| Nov 30, 2023 | 39,108.00 |
| Aug 31, 2023 | 1,537.00 |
| May 31, 2023 | 1,643.00 |
| Feb 28, 2023 | 1,239.00 |
Transuite.Org Other Operating 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=other-operating-expenses&ticker=TRSO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=TRSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();