Totaligent (TGNT) Price to Sales (2013 - 2026)
Totaligent's (TGNT) Price to Sales came in at 769.19 for Q2 2026, up 344.7% from 172.97 a year earlier but down 50.0% from the prior quarter.
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Analysis
Totaligent (TGNT) Price to Sales (2013 - 2026) Analysis & Trends
For FY2025, Totaligent's Price to Sales stood at 1256.16.
- In prior years, Totaligent's Price to Sales was 3.18 in FY2024 (+64.6%), 1.93 in FY2023 (-97.5%) and 76.50 in FY2022.
- Quarterly Price to Sales has run from a low of 0.40 in Q4 2022 to a high of 2307.57 in Q3 2025 over five years.
- According to Business Quant data, Price to Sales for the three prior quarters was 1538.38 (Q1 2026), 1538.38 (Q4 2025) and 2307.57 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Totaligent | 1.73 Mn | 1.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 769.19 |
| Mar 31, 2026 | 1,538.38 |
| Dec 31, 2025 | 1,538.38 |
| Sep 30, 2025 | 2,307.57 |
| Jun 30, 2025 | 172.97 |
| Mar 31, 2025 | 33.38 |
| Dec 31, 2024 | 3.89 |
| Sep 30, 2024 | 4.46 |
| Jun 30, 2024 | 1.60 |
| Mar 31, 2024 | 1.32 |
| Dec 31, 2023 | 2.25 |
| Sep 30, 2023 | 4.55 |
| Jun 30, 2023 | 22.42 |
| Dec 31, 2022 | 1.24 |
| Sep 30, 2017 | 51.52 |
| Jun 30, 2017 | 27.08 |
| Mar 31, 2016 | 0.13 |
| Dec 31, 2015 | 0.51 |
| Sep 30, 2015 | 0.51 |
| Mar 31, 2015 | 0.42 |
API Access
Totaligent Price to Sales 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=price-to-sales&ticker=TGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=TGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();