Tractor Supply (TSCO) Change in Inventory (2009 - 2026)
Tractor Supply's Change in Inventory came in at -$69.86 million for Q2 2026, compared with -$123.58 million a year earlier.
Tractor Supply (TSCO) Change in Inventory (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Tractor Supply reported Change in Inventory of $423.44 million, up 487.7% year-over-year; for FY2025, it came in at $225.69 million, up 16.1% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $194.32 million in FY2024, -$40.87 million in FY2023, $349.74 million in FY2022 (-14.3%) and $407.92 million in FY2021 (+126.0%).
- The five-year range for quarterly Change in Inventory is -$355.74 million (Q2 2023) to $499.52 million (Q1 2026).
- Year-over-year, Change in Inventory increased in two of the last four quarters, with growth averaging 17.8%.
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2025 (growth of 97.0%), and the weakest in Q3 2024 (a decline of 54.7%).
- Business Quant data shows TSCO's Change in Inventory at $499.52 million (Q1 2026), -$168.74 million (Q4 2025) and $162.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 457.00 Mn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 60.00 Mn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | - |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | -69.86 Mn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 293.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -69.86 Mn |
| Mar 28, 2026 | 499.52 Mn |
| Dec 27, 2025 | -168.74 Mn |
| Sep 27, 2025 | 162.52 Mn |
| Jun 28, 2025 | -123.58 Mn |
| Mar 29, 2025 | 355.49 Mn |
| Dec 28, 2024 | -242.34 Mn |
| Sep 28, 2024 | 82.49 Mn |
| Jun 29, 2024 | -48.69 Mn |
| Mar 30, 2024 | 402.87 Mn |
| Dec 30, 2023 | -188.39 Mn |
| Sep 30, 2023 | 182.15 Mn |
| Jul 1, 2023 | -355.74 Mn |
| Apr 1, 2023 | 321.12 Mn |
| Dec 31, 2022 | -137.26 Mn |
| Sep 24, 2022 | 193.06 Mn |
| Jun 25, 2022 | -83.04 Mn |
| Mar 26, 2022 | 376.99 Mn |
| Dec 25, 2021 | -8.58 Mn |
| Sep 25, 2021 | 206.95 Mn |
Tractor Supply Change in Inventory 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=change-in-inventory&ticker=TSCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();