Tractor Supply (TSCO) Cash & Equivalents (2009 - 2026)
Tractor Supply's Cash & Equivalents was $231.59 million in Q2 2026, up 2.6% from $225.81 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Tractor Supply (TSCO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Tractor Supply came in at $194.11 million, down 22.8% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -32.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $251.49 million in FY2024 (-36.7%), $397.07 million in FY2023 (+96.1%), $202.5 million in FY2022 (-76.9%) and $878.03 million in FY2021 (-34.6%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q1 2025.
- Compared with a year earlier, Cash & Equivalents was higher in 1 of the last eight quarters, with an average decline of 21.5%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2023 (growth of 99.6%); the worst was Q3 2022 (a decline of 81.0%).
- Per Business Quant data, TSCO's Cash & Equivalents in the three quarters before Q2 2026 was $224.27 million (Q1 2026), $194.11 million (Q4 2025) and $184.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 92.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 231.59 Mn |
| Mar 28, 2026 | 224.27 Mn |
| Dec 27, 2025 | 194.11 Mn |
| Sep 27, 2025 | 184.64 Mn |
| Jun 28, 2025 | 225.81 Mn |
| Mar 29, 2025 | 231.72 Mn |
| Dec 28, 2024 | 251.49 Mn |
| Sep 28, 2024 | 186.29 Mn |
| Jun 29, 2024 | 394.75 Mn |
| Mar 30, 2024 | 264.09 Mn |
| Dec 30, 2023 | 397.07 Mn |
| Sep 30, 2023 | 421.69 Mn |
| Jul 1, 2023 | 620.03 Mn |
| Apr 1, 2023 | 190.08 Mn |
| Dec 31, 2022 | 202.50 Mn |
| Sep 24, 2022 | 211.24 Mn |
| Jun 25, 2022 | 530.82 Mn |
| Mar 26, 2022 | 405.43 Mn |
| Dec 25, 2021 | 878.03 Mn |
| Sep 25, 2021 | 1.11 Bn |
API Access
Tractor Supply Cash & Equivalents 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=cash-and-equivalents&ticker=TSCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TSCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();