TechTarget (TTGT) Operating Expenses (2023 - 2026)
TechTarget's Operating Expenses came in at $86.56 million for Q2 2026, down 81.9% from $479.07 million a year earlier and down 37.7% from the prior quarter.
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Analysis
TechTarget (TTGT) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TechTarget reported Operating Expenses of $512.96 million, down 57.3% year-over-year; for FY2025, it came in at $1.32 billion, up 344.5% from FY2024.
- Operating Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 113.3% (FY2022 to FY2025).
- Going back by year, Operating Expenses was $296.75 million in FY2024 (+49.4%), $198.64 million in FY2023 (+46.2%) and $135.89 million in FY2022.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2024.
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with growth averaging 256.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2025 (growth of 867.0%), and the weakest in Q2 2026 (a decline of 81.9%).
- Business Quant data shows TTGT's Operating Expenses at $138.98 million (Q1 2026), $104.63 million (Q4 2025) and $182.79 million (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 | 478.70 Bn | 447.65 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 386.97 Bn | 259.11 Bn | - | 12.62 Bn |
| 3 | Sap Se | 273.48 Bn | 201.26 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 199.13 Bn | 155.00 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 157.36 Bn | 135.82 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 118.71 Bn | 100.84 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 92.46 Bn | 71.81 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 73.23 Bn | 72.32 Bn | - | - |
| 9 | Strategy | 54.12 Bn | 47.11 Bn | 81.55 Mn | 8.41 Bn |
| 10 | TechTarget | 270.80 Mn | 90.34 Mn | 64.48 Mn | 86.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.56 Mn |
| Mar 31, 2026 | 138.98 Mn |
| Dec 31, 2025 | 104.63 Mn |
| Sep 30, 2025 | 182.79 Mn |
| Jun 30, 2025 | 479.07 Mn |
| Mar 31, 2025 | 552.63 Mn |
| Dec 31, 2024 | 115.48 Mn |
| Sep 30, 2024 | 53.44 Mn |
| Jun 30, 2024 | 70.69 Mn |
| Mar 31, 2024 | 57.15 Mn |
| Dec 31, 2023 | 18.25 Mn |
| Sep 30, 2023 | 53.31 Mn |
| Jun 30, 2023 | 130.78 Mn |
| Mar 31, 2023 | -3.69 Mn |
API Access
TechTarget 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=TTGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TTGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();