Totaligent (TGNT) Return on Sales [ROS] (2010 - 2026)
Totaligent's Return on Sales [ROS] came in at -18587.54% for Q2 2026, down 15923.65 percentage points from -2663.89% a year earlier but up 2901.87 percentage points from the prior quarter.
Powered by 
Analysis
Totaligent (TGNT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2025, Totaligent's Return on Sales [ROS] was -20239.86%, down 20040.84 percentage points from FY2024.
- Return on Sales [ROS] carries a three-year change of -17411.13 percentage points (FY2022 to FY2025).
- Going back by year, Return on Sales [ROS] was -199.02% in FY2024 (-150.64 pp), -48.38% in FY2023 (+2780.35 pp) and -2828.73% in FY2022.
- The five-year range for quarterly Return on Sales [ROS] is -21489.41% (Q1 2026) to 6.59% (Q4 2022).
- Year-over-year, Return on Sales [ROS] has declined for nine consecutive quarters, with an average year-over-year change of -8149.64 percentage points over the last eight quarters.
- Over the past five years, the year-over-year drop in Return on Sales [ROS] ranged from 13.11 percentage points (Q2 2024) to 20716.96 percentage points (Q1 2026).
- Business Quant data shows TGNT's Return on Sales [ROS] at -21489.41% (Q1 2026), -20239.86% (Q4 2025) and -5117.97% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Totaligent | 1.73 Mn | 1.72 Mn | - | -18,587.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -18,587.54% |
| Mar 31, 2026 | -21,489.41% |
| Dec 31, 2025 | -20,239.86% |
| Sep 30, 2025 | -5,117.97% |
| Jun 30, 2025 | -2,663.89% |
| Mar 31, 2025 | -772.45% |
| Dec 31, 2024 | -197.31% |
| Sep 30, 2024 | -1,528.86% |
| Jun 30, 2024 | -143.81% |
| Mar 31, 2024 | -45.42% |
| Dec 31, 2023 | -23.94% |
| Sep 30, 2023 | -24.48% |
| Jun 30, 2023 | -130.70% |
| Dec 31, 2022 | 20.61% |
| Sep 30, 2017 | -3,148.86% |
| Jun 30, 2017 | -5,827.01% |
| Mar 31, 2016 | -0.47% |
| Dec 31, 2015 | -32.00% |
| Sep 30, 2015 | -0.49% |
| Mar 31, 2015 | -41.92% |
API Access
Totaligent Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();