Tractor Supply (TSCO) Total Liabilities (2009 - 2026)
Tractor Supply (TSCO) posted Total Liabilities of $9.53 billion for Q2 2026, up 18.1% from $8.07 billion a year earlier and up 4.2% from the prior quarter.
Tractor Supply (TSCO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tractor Supply's Total Liabilities came in at $8.35 billion, up 10.8% from FY2024.
- Annual Total Liabilities has increased for 12 consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Tractor Supply's Total Liabilities was $7.54 billion in FY2024 (+7.1%), $7.04 billion in FY2023 (+9.2%), $6.45 billion in FY2022 (+11.8%) and $5.76 billion in FY2021 (+12.5%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 50 quarters, with growth averaging 10.3% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 4.3% (Q3 2022) and 18.8% (Q3 2023) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $9.15 billion (Q1 2026), $8.35 billion (Q4 2025) and $8.3 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 52.92 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 13.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 9.53 Bn |
| Mar 28, 2026 | 9.15 Bn |
| Dec 27, 2025 | 8.35 Bn |
| Sep 27, 2025 | 8.30 Bn |
| Jun 28, 2025 | 8.07 Bn |
| Mar 29, 2025 | 8.15 Bn |
| Dec 28, 2024 | 7.54 Bn |
| Sep 28, 2024 | 7.48 Bn |
| Jun 29, 2024 | 7.48 Bn |
| Mar 30, 2024 | 7.43 Bn |
| Dec 30, 2023 | 7.04 Bn |
| Sep 30, 2023 | 7.09 Bn |
| Jul 1, 2023 | 6.95 Bn |
| Apr 1, 2023 | 6.93 Bn |
| Dec 31, 2022 | 6.45 Bn |
| Sep 24, 2022 | 5.97 Bn |
| Jun 25, 2022 | 5.96 Bn |
| Mar 26, 2022 | 5.90 Bn |
| Dec 25, 2021 | 5.76 Bn |
| Sep 25, 2021 | 5.72 Bn |
Tractor Supply 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=TSCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();