Tractor Supply (TSCO) Total Non-Current Liabilities (2009 - 2026)
Tractor Supply's Total Non-Current Liabilities came in at $9.36 billion for Q2 2026, up 18.1% from $7.93 billion a year earlier and up 4.1% from the prior quarter.
Tractor Supply (TSCO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tractor Supply's Total Non-Current Liabilities was $8.2 billion, up 11.0% from FY2024.
- Total Non-Current Liabilities has increased in each of the last 12 years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $7.39 billion in FY2024 (+7.1%), $6.9 billion in FY2023 (+9.1%), $6.33 billion in FY2022 (+11.8%) and $5.66 billion in FY2021 (+13.6%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Year-over-year, Total Non-Current Liabilities has increased for 49 consecutive quarters, with growth averaging 10.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 4.6% in Q2 2022 to 18.8% in Q3 2023.
- Business Quant data shows TSCO's Total Non-Current Liabilities at $8.99 billion (Q1 2026), $8.2 billion (Q4 2025) and $8.16 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | - |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 50.26 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 15.21 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 41.67 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 22.57 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 4.95 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 10.33 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 9.44 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 9.36 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 13.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 9.36 Bn |
| Mar 28, 2026 | 8.99 Bn |
| Dec 27, 2025 | 8.20 Bn |
| Sep 27, 2025 | 8.16 Bn |
| Jun 28, 2025 | 7.93 Bn |
| Mar 29, 2025 | 8.00 Bn |
| Dec 28, 2024 | 7.39 Bn |
| Sep 28, 2024 | 7.34 Bn |
| Jun 29, 2024 | 7.34 Bn |
| Mar 30, 2024 | 7.29 Bn |
| Dec 30, 2023 | 6.90 Bn |
| Sep 30, 2023 | 6.96 Bn |
| Jul 1, 2023 | 6.82 Bn |
| Apr 1, 2023 | 6.81 Bn |
| Dec 31, 2022 | 6.33 Bn |
| Sep 24, 2022 | 5.86 Bn |
| Jun 25, 2022 | 5.84 Bn |
| Mar 26, 2022 | 5.79 Bn |
| Dec 25, 2021 | 5.66 Bn |
| Sep 25, 2021 | 5.60 Bn |
Tractor Supply Total Non-Current 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-non-current-liabilities&ticker=TSCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "TSCO", "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-non-current-liabilities&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();