ServiceTitan (TTAN) Receivables - Net (2024 - 2026)
ServiceTitan's Receivables - Net came in at $69.88 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 34.7% from $51.89 million a year earlier and up 10.3% from the prior quarter.
ServiceTitan (TTAN) Receivables - Net (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), ServiceTitan's Receivables - Net was $55.97 million, up 25.9% from FY2025.
- Going back by fiscal year, Receivables - Net was $44.47 million in FY2025 (+58.6%) and $28.05 million in FY2024.
- The fiscal Q2 2027 figure represents the highest quarterly Receivables - Net in data going back to fiscal Q4 2024.
- Year-over-year, Receivables - Net has increased for four consecutive quarters, with growth averaging 36.8% over the last five quarters.
- Business Quant data shows TTAN's Receivables - Net at $63.36 million (Q1 2027), $55.97 million (Q4 2026) and $52.49 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | ServiceTitan | 5.02 Bn | 3.20 Bn | 209.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 69.88 Mn |
| Apr 30, 2026 | 63.36 Mn |
| Jan 31, 2026 | 55.97 Mn |
| Oct 31, 2025 | 52.49 Mn |
| Jul 31, 2025 | 51.89 Mn |
| Apr 30, 2025 | 46.02 Mn |
| Jan 31, 2025 | 44.47 Mn |
| Oct 31, 2024 | 41.22 Mn |
| Jan 31, 2024 | 28.05 Mn |
ServiceTitan 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=TTAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=TTAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();