Tractor Supply (TSCO) EBITDA (2009 - 2026)
Tractor Supply's EBITDA was $597.96 million in Q2 2026, down 14.6% from $699.91 million a year earlier but up 66.1% from the prior quarter.
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Analysis
Tractor Supply (TSCO) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tractor Supply's EBITDA was $1.85 billion through Jun 27, 2026, down 4.9% year-over-year; for FY2025, it came in at $1.96 billion, up 2.4% from FY2024.
- EBITDA has now increased for 16 consecutive years, with a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.91 billion in FY2024 (+2.3%), $1.87 billion in FY2023 (+5.3%), $1.78 billion in FY2022 (+12.8%) and $1.58 billion in FY2021 (+29.9%).
- Quarterly EBITDA has moved between $321.93 million (Q1 2022) and $699.91 million (Q2 2025) over five years.
- Compared with a year earlier, EBITDA has declined for three straight quarters, with an average decline of 0.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 51.7%); the worst was Q2 2026 (a decline of 14.6%).
- Per Business Quant data, TSCO's EBITDA in the three quarters before Q2 2026 was $360.03 million (Q1 2026), $425.49 million (Q4 2025) and $466.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Performance Food | 15.21 Bn | 14.99 Bn | 2.17 Bn | 540.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 597.96 Mn |
| Mar 28, 2026 | 360.03 Mn |
| Dec 27, 2025 | 425.49 Mn |
| Sep 27, 2025 | 466.78 Mn |
| Jun 28, 2025 | 699.91 Mn |
| Mar 29, 2025 | 369.22 Mn |
| Dec 28, 2024 | 438.40 Mn |
| Sep 28, 2024 | 438.15 Mn |
| Jun 29, 2024 | 670.72 Mn |
| Mar 30, 2024 | 367.42 Mn |
| Dec 30, 2023 | 437.51 Mn |
| Sep 30, 2023 | 431.17 Mn |
| Jul 1, 2023 | 661.61 Mn |
| Apr 1, 2023 | 341.67 Mn |
| Dec 31, 2022 | 454.03 Mn |
| Sep 24, 2022 | 393.65 Mn |
| Jun 25, 2022 | 608.40 Mn |
| Mar 26, 2022 | 321.93 Mn |
| Dec 25, 2021 | 368.48 Mn |
| Sep 25, 2021 | 367.05 Mn |
API Access
Tractor Supply EBITDA 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=ebitda&ticker=TSCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();