ServiceTitan (TTAN) Selling, General & Administrative (2023 - 2026)
ServiceTitan (TTAN) reported Selling, General & Administrative of $59.02 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 7.1% from $63.51 million a year earlier but up 1.0% from the prior quarter.
ServiceTitan (TTAN) Selling, General & Administrative (2023 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, ServiceTitan's Selling, General & Administrative came in at $243.86 million, down 4.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $249.47 million, up 16.3% from FY2025.
- Selling, General & Administrative has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 23.6% (FY2023 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $214.48 million in FY2025 (+57.7%), $135.97 million in FY2024 (+2.8%) and $132.24 million in FY2023.
- Five-year quarterly Selling, General & Administrative spans a low of $29.72 million in fiscal Q3 2024 and a high of $92.25 million in fiscal Q4 2025.
- Year over year, Selling, General & Administrative has now declined in each of the last three quarters, with growth averaging 37.5% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q4 2025 (growth of 148.0%); the low point was fiscal Q4 2026 (a decline of 30.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $58.46 million (Q1 2027), $64.62 million (Q4 2026) and $61.77 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 50.59 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 114.00 Mn |
| 10 | ServiceTitan | 5.02 Bn | 3.20 Bn | 209.07 Mn | 59.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 59.02 Mn |
| Apr 30, 2026 | 58.46 Mn |
| Jan 31, 2026 | 64.62 Mn |
| Oct 31, 2025 | 61.77 Mn |
| Jul 31, 2025 | 63.51 Mn |
| Apr 30, 2025 | 59.57 Mn |
| Jan 31, 2025 | 92.25 Mn |
| Oct 31, 2024 | 40.26 Mn |
| Jul 31, 2024 | 38.77 Mn |
| Apr 30, 2024 | 43.19 Mn |
| Jan 31, 2024 | 37.19 Mn |
| Oct 31, 2023 | 29.72 Mn |
ServiceTitan Selling, General & Administrative 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=selling-general-and-administrative&ticker=TTAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TTAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();