Titan Machinery (TITN) Total Liabilities (2011 - 2026)
Titan Machinery's Total Liabilities came in at $1.07 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 15.5% from $1.27 billion a year earlier but up 2.1% from the prior quarter.
Titan Machinery (TITN) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Titan Machinery's Total Liabilities was $1.04 billion, down 13.5% from FY2025.
- Total Liabilities carries a five-year compound annual growth rate of 17.1% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.2 billion in FY2025 (-10.1%), $1.33 billion in FY2024 (+104.6%), $652.39 million in FY2023 (+27.6%) and $511.47 million in FY2022 (+8.7%).
- The five-year range for quarterly Total Liabilities is $441.64 million (fiscal Q3 2022) to $1.56 billion (fiscal Q2 2025).
- Year-over-year, Total Liabilities has declined for seven consecutive quarters, with an average decline of 8.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2024 (growth of 104.6%), and the weakest in fiscal Q3 2026 (a decline of 19.7%).
- Business Quant data shows TITN's Total Liabilities at $1.05 billion (Q1 2027), $1.04 billion (Q4 2026) and $1.16 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 5.11 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 1.22 Bn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 11.92 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 16.17 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 3.75 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 12.59 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 1.15 Bn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 1.61 Bn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 5.97 Bn |
| 10 | Titan Machinery | 552.39 Mn | 552.39 Mn | 92.40 Mn | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.07 Bn |
| Apr 30, 2026 | 1.05 Bn |
| Jan 31, 2026 | 1.04 Bn |
| Oct 31, 2025 | 1.16 Bn |
| Jul 31, 2025 | 1.27 Bn |
| Apr 30, 2025 | 1.19 Bn |
| Jan 31, 2025 | 1.20 Bn |
| Oct 31, 2024 | 1.44 Bn |
| Jul 31, 2024 | 1.56 Bn |
| Apr 30, 2024 | 1.43 Bn |
| Jan 31, 2024 | 1.33 Bn |
| Oct 31, 2023 | 1.02 Bn |
| Jul 31, 2023 | 920.34 Mn |
| Apr 30, 2023 | 814.07 Mn |
| Jan 31, 2023 | 652.39 Mn |
| Oct 31, 2022 | 613.48 Mn |
| Jul 31, 2022 | 603.59 Mn |
| Apr 30, 2022 | 558.71 Mn |
| Jan 31, 2022 | 511.47 Mn |
| Oct 31, 2021 | 441.64 Mn |
Titan Machinery Total Liabilities 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=total-liabilities&ticker=TITN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TITN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();