Tractor Supply (TSCO) Change in Accured Expenses (2009 - 2026)
Tractor Supply's Change in Accured Expenses was $272.58 million in Q2 2026, up 397.3% from $54.82 million a year earlier.
Tractor Supply (TSCO) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tractor Supply's Change in Accured Expenses was $232.66 million through Jun 27, 2026; for FY2025, it came in at $25.1 million, up 20.0% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of -20.7% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $20.92 million in FY2024, -$31.5 million in FY2023, -$13.14 million in FY2022 and $137.83 million in FY2021 (+72.4%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q3 2009.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2026 (growth of 397.3%); the worst was Q3 2021 (a decline of 64.1%).
- Per Business Quant data, TSCO's Change in Accured Expenses in the three quarters before Q2 2026 was -$93.86 million (Q1 2026), -$84.88 million (Q4 2025) and $138.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 114.00 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 5.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 272.58 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 181.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 272.58 Mn |
| Mar 28, 2026 | -93.86 Mn |
| Dec 27, 2025 | -84.88 Mn |
| Sep 27, 2025 | 138.82 Mn |
| Jun 28, 2025 | 54.82 Mn |
| Mar 29, 2025 | -83.67 Mn |
| Dec 28, 2024 | 59.33 Mn |
| Sep 28, 2024 | -16.86 Mn |
| Jun 29, 2024 | 47.04 Mn |
| Mar 30, 2024 | -68.60 Mn |
| Dec 30, 2023 | 41.52 Mn |
| Sep 30, 2023 | -16.22 Mn |
| Jul 1, 2023 | 42.00 Mn |
| Apr 1, 2023 | -98.80 Mn |
| Dec 31, 2022 | 27.10 Mn |
| Sep 24, 2022 | 26.90 Mn |
| Jun 25, 2022 | -6.65 Mn |
| Mar 26, 2022 | -60.49 Mn |
| Dec 25, 2021 | 63.15 Mn |
| Sep 25, 2021 | 15.43 Mn |
Tractor Supply Change in Accured Expenses 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-accured-expenses&ticker=TSCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();