Tractor Supply (TSCO) Accumulated Expenses (2009 - 2026)
Tractor Supply's Accumulated Expenses was $874.79 million in Q3 2026, up 19.1% from $734.41 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Tractor Supply (TSCO) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Tractor Supply came in at $653.48 million, up 12.3% from FY2024.
- Accumulated Expenses has now increased for eight consecutive years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $581.97 million in FY2024 (+9.2%), $533.03 million in FY2023 (+6.9%), $498.58 million in FY2022 (+5.1%) and $474.41 million in FY2021 (+46.1%).
- Quarterly Accumulated Expenses has moved between $445.08 million (Q1 2022) and $878.95 million (Q2 2026) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 13 straight quarters, with growth averaging 18.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 46.1%); the worst was Q2 2023 (a decline of 1.2%).
- Per Business Quant data, TSCO's Accumulated Expenses in the three quarters before Q3 2026 was $878.95 million (Q2 2026), $674 million (Q1 2026) and $653.48 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 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 |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn |
| 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 |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn |
| 10 | Performance Food | 17.44 Bn | 17.22 Bn | 2.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 874.79 Mn |
| Jun 27, 2026 | 878.95 Mn |
| Mar 28, 2026 | 674.00 Mn |
| Dec 27, 2025 | 653.48 Mn |
| Sep 27, 2025 | 734.41 Mn |
| Jun 28, 2025 | 614.22 Mn |
| Mar 29, 2025 | 587.80 Mn |
| Dec 28, 2024 | 581.97 Mn |
| Sep 28, 2024 | 551.85 Mn |
| Jun 29, 2024 | 557.72 Mn |
| Mar 30, 2024 | 559.69 Mn |
| Dec 30, 2023 | 533.03 Mn |
| Sep 30, 2023 | 454.51 Mn |
| Jul 1, 2023 | 464.27 Mn |
| Apr 1, 2023 | 472.74 Mn |
| Dec 31, 2022 | 498.58 Mn |
| Sep 24, 2022 | 453.75 Mn |
| Jun 25, 2022 | 470.08 Mn |
| Mar 26, 2022 | 445.08 Mn |
| Dec 25, 2021 | 474.41 Mn |
API Access
Tractor Supply Accumulated 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=accumulated-expenses&ticker=TSCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();