Titan Machinery (TITN) Goodwill & Intangibles (2011 - 2026)
Titan Machinery's Goodwill & Intangibles came in at $118.48 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.9% from $112.92 million a year earlier and up 0.1% from the prior quarter.
Titan Machinery (TITN) Goodwill & Intangibles (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Titan Machinery's Goodwill & Intangibles was $116.82 million, up 6.6% from FY2025.
- Goodwill & Intangibles carries a five-year compound annual growth rate of 66.2% (FY2021 to FY2026).
- Going back by fiscal year, Goodwill & Intangibles was $109.55 million in FY2025 (-6.7%), $117.46 million in FY2024 (+139.6%), $49.03 million in FY2023 (+150.5%) and $19.58 million in FY2022 (+112.4%).
- The fiscal Q2 2027 figure represents the highest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2011.
- Year-over-year, Goodwill & Intangibles has increased for three consecutive quarters, with growth averaging 17.4% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in fiscal Q3 2023 (growth of 513.4%), and the weakest in fiscal Q3 2022 (a decline of 13.4%).
- Business Quant data shows TITN's Goodwill & Intangibles at $118.41 million (Q1 2027), $116.82 million (Q4 2026) and $112.35 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn |
| 10 | Titan Machinery | 598.28 Mn | 598.28 Mn | 92.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 118.48 Mn |
| Apr 30, 2026 | 118.41 Mn |
| Jan 31, 2026 | 116.82 Mn |
| Oct 31, 2025 | 112.35 Mn |
| Jul 31, 2025 | 112.92 Mn |
| Apr 30, 2025 | 109.91 Mn |
| Jan 31, 2025 | 109.55 Mn |
| Oct 31, 2024 | 115.94 Mn |
| Jul 31, 2024 | 114.30 Mn |
| Apr 30, 2024 | 114.28 Mn |
| Jan 31, 2024 | 117.46 Mn |
| Oct 31, 2023 | 49.41 Mn |
| Jul 31, 2023 | 49.51 Mn |
| Apr 30, 2023 | 49.02 Mn |
| Jan 31, 2023 | 49.03 Mn |
| Oct 31, 2022 | 48.87 Mn |
| Jul 31, 2022 | 21.02 Mn |
| Apr 30, 2022 | 21.04 Mn |
| Jan 31, 2022 | 19.58 Mn |
| Oct 31, 2021 | 7.97 Mn |
Titan Machinery Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=TITN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "TITN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();