Tractor Supply (TSCO) Change in Accrued Expenses (2009 - 2026)
Tractor Supply's Change in Accrued Expenses was $36.35 million in Q3 2026, down 73.8% from $138.82 million a year earlier and down 86.7% from the prior quarter.
Tractor Supply (TSCO) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tractor Supply's Change in Accrued Expenses was $130.19 million through Sep 26, 2026, down 23.1% year-over-year; for FY2025, it came in at $25.1 million, up 20.0% from FY2024.
- Change in Accrued Expenses shows a five-year compound annual growth rate of -20.7% (FY2020 to FY2025).
- In earlier years, Change in Accrued 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%).
- Quarterly Change in Accrued Expenses has moved between -$98.8 million (Q1 2023) and $272.58 million (Q2 2026) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in three of the last four quarters, with growth averaging 95.7%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q2 2026 (growth of 397.3%); the worst was Q3 2026 (a decline of 73.8%).
- Per Business Quant data, TSCO's Change in Accrued Expenses in the three quarters before Q3 2026 was $272.58 million (Q2 2026), -$93.86 million (Q1 2026) and -$84.88 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 Bn | 1.90 Bn |
| 2 | Costco Wholesale | 490.35 Bn | 413.63 Bn | 12.19 Bn | - |
| 3 | Kroger | 41.83 Bn | 27.99 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.95 Bn | 29.87 Bn | 4.05 Bn | -132.00 Mn |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn | 188.24 Mn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn | -50.26 Mn |
| 7 | Dollar Tree | 25.91 Bn | 22.54 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 23.28 Bn | 23.08 Bn | 1.90 Bn | 71.00 Mn |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn | 36.35 Mn |
| 10 | Performance Food | 17.44 Bn | 17.22 Bn | 2.19 Bn | -225.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 36.35 Mn |
| 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 |
| 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 Accrued 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();