Tractor Supply (TSCO) Tax Provisions (2009 - 2026)
Tractor Supply's Tax Provisions was $89.3 million in Q2 2026, down 31.2% from $129.79 million a year earlier but up 79.3% from the prior quarter.
Tractor Supply (TSCO) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tractor Supply's Tax Provisions was $261.34 million through Jun 27, 2026, down 16.7% year-over-year; for FY2025, it was $302.16 million, down 3.1% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $311.7 million in FY2024 (-4.1%), $325.18 million in FY2023 (+3.0%), $315.6 million in FY2022 (+11.5%) and $282.97 million in FY2021 (+29.1%).
- Quarterly Tax Provisions has moved between $48.67 million (Q1 2023) and $129.79 million (Q2 2025) over five years.
- Compared with a year earlier, Tax Provisions has declined for four straight quarters, with an average decline of 9.2% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q4 2021 (growth of 61.0%); the worst was Q2 2026 (a decline of 31.2%).
- Per Business Quant data, TSCO's Tax Provisions in the three quarters before Q2 2026 was $49.8 million (Q1 2026), $53.47 million (Q4 2025) and $68.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 1.48 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 746.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 169.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 175.97 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 73.31 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 171.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 94.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 89.30 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 59.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 89.30 Mn |
| Mar 28, 2026 | 49.80 Mn |
| Dec 27, 2025 | 53.47 Mn |
| Sep 27, 2025 | 68.77 Mn |
| Jun 28, 2025 | 129.79 Mn |
| Mar 29, 2025 | 50.13 Mn |
| Dec 28, 2024 | 64.74 Mn |
| Sep 28, 2024 | 69.25 Mn |
| Jun 29, 2024 | 124.65 Mn |
| Mar 30, 2024 | 53.06 Mn |
| Dec 30, 2023 | 74.38 Mn |
| Sep 30, 2023 | 76.37 Mn |
| Jul 1, 2023 | 125.76 Mn |
| Apr 1, 2023 | 48.67 Mn |
| Dec 31, 2022 | 78.10 Mn |
| Sep 24, 2022 | 66.05 Mn |
| Jun 25, 2022 | 121.46 Mn |
| Mar 26, 2022 | 49.99 Mn |
| Dec 25, 2021 | 65.17 Mn |
| Sep 25, 2021 | 66.68 Mn |
Tractor Supply Tax Provisions 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=tax-provisions&ticker=TSCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();