Titan Machinery (TITN) Operating Expenses (2010 - 2026)
Titan Machinery (TITN) posted Operating Expenses of $94.08 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.5% from $92.66 million a year earlier but down 0.3% from the prior quarter.
Titan Machinery (TITN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Titan Machinery was $384.63 million, unchanged year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $385.24 million, down 1.2% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- In prior fiscal years, Titan Machinery's Operating Expenses was $389.78 million in FY2025 (+7.5%), $362.51 million in FY2024 (+20.2%), $301.52 million in FY2023 (+25.1%) and $241.04 million in FY2022 (+9.2%).
- Quarterly Operating Expenses has run from a low of $62.94 million in fiscal Q3 2022 to a high of $100.47 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 0.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2023, with growth of 34.8%; the weakest was fiscal Q4 2025, with a decline of 3.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $94.38 million (Q1 2027), $95.7 million (Q4 2026) and $100.47 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Titan Machinery | 552.39 Mn | 552.39 Mn | 92.40 Mn | 94.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 94.08 Mn |
| Apr 30, 2026 | 94.38 Mn |
| Jan 31, 2026 | 95.70 Mn |
| Oct 31, 2025 | 100.47 Mn |
| Jul 31, 2025 | 92.66 Mn |
| Apr 30, 2025 | 96.40 Mn |
| Jan 31, 2025 | 96.69 Mn |
| Oct 31, 2024 | 98.77 Mn |
| Jul 31, 2024 | 95.16 Mn |
| Apr 30, 2024 | 99.16 Mn |
| Jan 31, 2024 | 100.33 Mn |
| Oct 31, 2023 | 92.12 Mn |
| Jul 31, 2023 | 88.75 Mn |
| Apr 30, 2023 | 81.32 Mn |
| Jan 31, 2023 | 83.68 Mn |
| Oct 31, 2022 | 84.86 Mn |
| Jul 31, 2022 | 68.83 Mn |
| Apr 30, 2022 | 64.15 Mn |
| Jan 31, 2022 | 64.58 Mn |
| Oct 31, 2021 | 62.94 Mn |
Titan Machinery 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=TITN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();