Totaligent (TGNT) Operating Expenses (2010 - 2026)
Totaligent's Operating Expenses came in at $39,271 for Q2 2026, down 62.4% from $104,505 a year earlier and down 63.0% from the prior quarter.
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Analysis
Totaligent (TGNT) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Totaligent reported Operating Expenses of $420,096, down 47.2% year-over-year; for FY2025, it was $457,240, down 50.7% from FY2024.
- Operating Expenses carries a three-year compound annual growth rate of -4.5% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $927,749 in FY2024 (+53.5%), $604,302 in FY2023 (+15.3%) and $524,217 in FY2022.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q4 2023.
- Year-over-year, Operating Expenses increased in three of the last seven quarters, with an average decline of 21.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 36.0%), and the weakest in Q3 2025 (a decline of 74.4%).
- Business Quant data shows TGNT's Operating Expenses at $106,113 (Q1 2026), $157,412 (Q4 2025) and $117,300 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Totaligent | 1.73 Mn | 1.72 Mn | - | 39,271.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39,271.00 |
| Mar 31, 2026 | 106,113.00 |
| Dec 31, 2025 | 157,412.00 |
| Sep 30, 2025 | 117,300.00 |
| Jun 30, 2025 | 104,505.00 |
| Mar 31, 2025 | 78,023.00 |
| Dec 31, 2024 | 155,647.00 |
| Sep 30, 2024 | 457,615.00 |
| Jun 30, 2024 | 141,938.00 |
| Mar 31, 2024 | 167,157.00 |
| Dec 31, 2023 | 10,923.00 |
| Sep 30, 2023 | 356,053.00 |
| Jun 30, 2023 | 128,469.00 |
| Dec 31, 2022 | -5.37 Mn |
| Sep 30, 2017 | 1.76 Mn |
| Jun 30, 2017 | 3.19 Mn |
| Mar 31, 2017 | 140,439.00 |
| Dec 31, 2016 | -1.06 Mn |
| Sep 30, 2016 | 147,682.00 |
| Jun 30, 2016 | 677,274.00 |
API Access
Totaligent 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=operating-expenses&ticker=TGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TGNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();