TechTarget (TTGT) Receivables - Net (2023 - 2026)
TechTarget (TTGT) reported Receivables - Net of $70.79 million for Q2 2026, down 9.3% from $78.04 million a year earlier but up 6.7% from the prior quarter.
TechTarget (TTGT) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, TechTarget posted Receivables - Net of $83.82 million, up 6.0% from FY2024.
- By year, Receivables - Net came in at $79.04 million in FY2024 (+98.4%) and $39.84 million in FY2023.
- Five-year quarterly Receivables - Net spans a low of $39.84 million in Q4 2023 and a high of $83.82 million in Q4 2025.
- Year over year, Receivables - Net gained in two of the last four quarters, with growth averaging 23.2%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $66.37 million (Q1 2026), $83.82 million (Q4 2025) and $82.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn |
| 10 | TechTarget | 265.73 Mn | 85.28 Mn | 64.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.79 Mn |
| Mar 31, 2026 | 66.37 Mn |
| Dec 31, 2025 | 83.82 Mn |
| Sep 30, 2025 | 82.33 Mn |
| Jun 30, 2025 | 78.04 Mn |
| Mar 31, 2025 | 68.10 Mn |
| Dec 31, 2024 | 79.04 Mn |
| Dec 31, 2023 | 39.84 Mn |
TechTarget Receivables - Net 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=receivables-net&ticker=TTGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "TTGT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=TTGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();