Tractor Supply (TSCO) Operating Expenses (2009 - 2026)
Tractor Supply (TSCO) reported Operating Expenses of $1.02 billion for Q2 2026, up 8.7% from $940.06 million a year earlier and up 8.6% from the prior quarter.
Tractor Supply (TSCO) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Tractor Supply's Operating Expenses came in at $3.83 billion, up 7.3% year-over-year; for FY2025, it came in at $3.69 billion, up 6.1% from FY2024.
- Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $3.48 billion in FY2024 (+3.7%), $3.36 billion in FY2023 (+5.1%), $3.19 billion in FY2022 (+10.1%) and $2.9 billion in FY2021 (+17.0%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2009.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 5.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2022 (growth of 20.9%); the low point was Q4 2023 (a decline of 5.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $941.15 million (Q1 2026), $944.39 million (Q4 2025) and $922.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 1.85 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.02 Bn |
| Mar 28, 2026 | 941.15 Mn |
| Dec 27, 2025 | 944.39 Mn |
| Sep 27, 2025 | 922.45 Mn |
| Jun 28, 2025 | 940.06 Mn |
| Mar 29, 2025 | 886.21 Mn |
| Dec 28, 2024 | 891.23 Mn |
| Sep 28, 2024 | 852.30 Mn |
| Jun 29, 2024 | 884.90 Mn |
| Mar 30, 2024 | 853.44 Mn |
| Dec 30, 2023 | 855.55 Mn |
| Sep 30, 2023 | 819.31 Mn |
| Jul 1, 2023 | 853.16 Mn |
| Apr 1, 2023 | 828.24 Mn |
| Dec 31, 2022 | 909.60 Mn |
| Sep 24, 2022 | 772.17 Mn |
| Jun 25, 2022 | 777.86 Mn |
| Mar 26, 2022 | 734.58 Mn |
| Dec 25, 2021 | 752.10 Mn |
| Sep 25, 2021 | 718.26 Mn |
Tractor Supply Operating 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=operating-expenses&ticker=TSCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();