Titan Machinery (TITN) Accumulated Expenses (2011 - 2026)
Titan Machinery (TITN) posted Accumulated Expenses of $84.51 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 41.0% from $59.92 million a year earlier and up 18.5% from the prior quarter.
Titan Machinery (TITN) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Titan Machinery's Accumulated Expenses came in at $75.25 million, up 26.5% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 9.1% (FY2021 to FY2026).
- In prior fiscal years, Titan Machinery's Accumulated Expenses was $59.49 million in FY2025 (-20.0%), $74.4 million in FY2024 (+27.9%), $58.16 million in FY2023 (-2.0%) and $59.34 million in FY2022 (+21.6%).
- The fiscal Q2 2027 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last five quarters, with growth averaging 7.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2027, with growth of 41.0%; the weakest was fiscal Q4 2025, with a decline of 20.0%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $71.35 million (Q1 2027), $75.25 million (Q4 2026) and $68.01 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn |
| 10 | Titan Machinery | 543.21 Mn | 543.21 Mn | 92.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 84.51 Mn |
| Apr 30, 2026 | 71.35 Mn |
| Jan 31, 2026 | 75.25 Mn |
| Oct 31, 2025 | 68.01 Mn |
| Jul 31, 2025 | 59.92 Mn |
| Apr 30, 2025 | 61.98 Mn |
| Jan 31, 2025 | 59.49 Mn |
| Oct 31, 2024 | 59.46 Mn |
| Jul 31, 2024 | 58.89 Mn |
| Apr 30, 2024 | 65.40 Mn |
| Jan 31, 2024 | 74.40 Mn |
| Oct 31, 2023 | 71.21 Mn |
| Jul 31, 2023 | 49.36 Mn |
| Apr 30, 2023 | 48.04 Mn |
| Jan 31, 2023 | 58.16 Mn |
| Oct 31, 2022 | 56.98 Mn |
| Jul 31, 2022 | 42.86 Mn |
| Apr 30, 2022 | 47.09 Mn |
| Jan 31, 2022 | 59.34 Mn |
| Oct 31, 2021 | 49.13 Mn |
Titan Machinery Accumulated 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=accumulated-expenses&ticker=TITN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();