ServiceTitan (TTAN) Operating Expenses (2023 - 2026)
ServiceTitan (TTAN) recorded Operating Expenses of $236.62 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 14.8% from $206.12 million a year earlier and up 7.8% from the prior quarter.
ServiceTitan (TTAN) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, ServiceTitan's Operating Expenses came in at $895.07 million as of Jul 31, 2026, up 9.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $842.94 million, up 15.3% from FY2025.
- Annual Operating Expenses has increased for three straight fiscal years, with a three-year compound annual growth rate of 20.0% (FY2023 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $730.88 million in FY2025 (+30.6%), $559.49 million in FY2024 (+14.7%) and $487.88 million in FY2023.
- The fiscal Q2 2027 figure is the highest quarterly Operating Expenses since fiscal Q4 2025.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 22.9%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 60.5% in fiscal Q4 2025, against a decline of 7.4% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $219.55 million (Q1 2027), $220.33 million (Q4 2026) and $218.57 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | ServiceTitan | 5.02 Bn | 3.20 Bn | 209.07 Mn | 236.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 236.62 Mn |
| Apr 30, 2026 | 219.55 Mn |
| Jan 31, 2026 | 220.33 Mn |
| Oct 31, 2025 | 218.57 Mn |
| Jul 31, 2025 | 206.12 Mn |
| Apr 30, 2025 | 197.93 Mn |
| Jan 31, 2025 | 238.04 Mn |
| Oct 31, 2024 | 173.99 Mn |
| Jul 31, 2024 | 159.44 Mn |
| Apr 30, 2024 | 159.41 Mn |
| Jan 31, 2024 | 148.30 Mn |
| Oct 31, 2023 | 138.91 Mn |
ServiceTitan 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=TTAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TTAN", "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=TTAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();