Titan Machinery (TITN) Non Operating Interest Expenses (2010 - 2026)
Titan Machinery (TITN) reported Non Operating Interest Expenses of $4.39 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 7.0% from $4.72 million a year earlier and down 5.0% from the prior quarter.
Titan Machinery (TITN) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Titan Machinery's Non Operating Interest Expenses came in at $18.49 million, up 7.0% year-over-year; for FY2023 (ended Jan 31, 2023), it came in at $6.94 million, up 21.6% from FY2022.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -16.4% (FY2018 to FY2023).
- By fiscal year, Non Operating Interest Expenses came in at $5.71 million in FY2022 (-20.5%), $7.18 million in FY2021 (-26.8%), $9.81 million in FY2020 (-29.3%) and $13.87 million in FY2019 (-18.4%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Non Operating Interest Expenses since fiscal Q3 2025.
- Year over year, Non Operating Interest Expenses gained in five of the last six quarters, with growth averaging 50.6%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q2 2025 (growth of 200.9%); the low point was fiscal Q4 2022 (a decline of 43.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 4.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.39 Mn |
| Apr 30, 2026 | 4.62 Mn |
| Oct 31, 2025 | 4.76 Mn |
| Jul 31, 2025 | 4.72 Mn |
| Apr 30, 2025 | 4.53 Mn |
| Oct 31, 2024 | 4.29 Mn |
| Jul 31, 2024 | 3.73 Mn |
| Apr 30, 2024 | 2.46 Mn |
| Oct 31, 2023 | 1.49 Mn |
| Jul 31, 2023 | 1.24 Mn |
| Apr 30, 2023 | 1.27 Mn |
| Jan 31, 2023 | 3.14 Mn |
| Oct 31, 2022 | 1.26 Mn |
| Jul 31, 2022 | 1.35 Mn |
| Apr 30, 2022 | 1.20 Mn |
| Jan 31, 2022 | 2.42 Mn |
| Oct 31, 2021 | 1.07 Mn |
| Jul 31, 2021 | 1.12 Mn |
| Apr 30, 2021 | 1.10 Mn |
| Jan 31, 2021 | 4.30 Mn |
Titan Machinery Non Operating 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=non-operating-interest-expenses&ticker=TITN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();