Titan Machinery (TITN) Operating Leases (2019 - 2026)
Titan Machinery (TITN) recorded Operating Leases of $46.66 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.3% from $46.08 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Titan Machinery (TITN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Titan Machinery reported Operating Leases of $46.05 million, up 80.0% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of -8.9% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $25.59 million in FY2025 (-49.8%), $50.96 million in FY2024 (+5.1%), $48.51 million in FY2023 (-12.7%) and $55.6 million in FY2022 (-24.4%).
- Quarterly Operating Leases has ranged from $25.59 million in fiscal Q4 2025 to $59.26 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Operating Leases has increased for five consecutive quarters, with growth averaging 14.4% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 80.0% in fiscal Q4 2026, against a decline of 49.8% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $46.95 million (Q1 2027), $46.05 million (Q4 2026) and $45.8 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn |
| 10 | Titan Machinery | 552.39 Mn | 552.39 Mn | 92.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 46.66 Mn |
| Apr 30, 2026 | 46.95 Mn |
| Jan 31, 2026 | 46.05 Mn |
| Oct 31, 2025 | 45.80 Mn |
| Jul 31, 2025 | 46.08 Mn |
| Apr 30, 2025 | 26.59 Mn |
| Jan 31, 2025 | 25.59 Mn |
| Oct 31, 2024 | 34.81 Mn |
| Jul 31, 2024 | 35.42 Mn |
| Apr 30, 2024 | 47.69 Mn |
| Jan 31, 2024 | 50.96 Mn |
| Oct 31, 2023 | 38.69 Mn |
| Jul 31, 2023 | 42.17 Mn |
| Apr 30, 2023 | 45.77 Mn |
| Jan 31, 2023 | 48.51 Mn |
| Oct 31, 2022 | 50.74 Mn |
| Jul 31, 2022 | 51.00 Mn |
| Apr 30, 2022 | 53.28 Mn |
| Jan 31, 2022 | 55.60 Mn |
| Oct 31, 2021 | 59.26 Mn |
API Access
Titan Machinery Operating Leases 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-leases&ticker=TITN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();