Titan Machinery (TITN) Interest Expenses (2010 - 2026)
Titan Machinery (TITN) recorded Interest Expenses of $8.06 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 30.2% from $11.54 million a year earlier and down 1.5% from the prior quarter.
Titan Machinery (TITN) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Titan Machinery's Interest Expenses came in at $31.76 million as of Jul 31, 2026, down 29.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $24.11 million, down 30.5% from FY2025.
- Annual Interest Expenses has a five-year compound annual growth rate of 18.0% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $34.71 million in FY2025 (+151.5%), $13.8 million in FY2024 (+56.5%), $8.82 million in FY2023 (+28.1%) and $6.89 million in FY2022 (-34.5%).
- Quarterly Interest Expenses has ranged from $1.33 million in fiscal Q3 2022 to $14.28 million in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for five consecutive quarters, with growth averaging 9.7% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 274.0% in fiscal Q1 2025, against a decline of 45.6% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.18 million (Q1 2027), $4.59 million (Q4 2026) and $10.94 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 1.20 Mn |
| 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 | 18.20 Mn |
| 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 | 39.40 Mn |
| 10 | Titan Machinery | 543.21 Mn | 543.21 Mn | 92.40 Mn | 8.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.06 Mn |
| Apr 30, 2026 | 8.18 Mn |
| Jan 31, 2026 | 4.59 Mn |
| Oct 31, 2025 | 10.94 Mn |
| Jul 31, 2025 | 11.54 Mn |
| Apr 30, 2025 | 11.06 Mn |
| Jan 31, 2025 | 8.44 Mn |
| Oct 31, 2024 | 14.28 Mn |
| Jul 31, 2024 | 12.95 Mn |
| Apr 30, 2024 | 9.52 Mn |
| Jan 31, 2024 | 6.03 Mn |
| Oct 31, 2023 | 5.54 Mn |
| Jul 31, 2023 | 3.70 Mn |
| Apr 30, 2023 | 2.55 Mn |
| Jan 31, 2023 | 3.93 Mn |
| Oct 31, 2022 | 1.85 Mn |
| Jul 31, 2022 | 1.59 Mn |
| Apr 30, 2022 | 1.45 Mn |
| Jan 31, 2022 | 2.57 Mn |
| Oct 31, 2021 | 1.33 Mn |
Titan Machinery Interest 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=interest-expenses&ticker=TITN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();