Buckle (BKE) Long-Term Investments (2010 - 2026)
Buckle's Long-Term Investments was $35.73 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 20.6% from $29.63 million a year earlier and up 5.7% from the prior quarter.
Buckle (BKE) Long-Term Investments (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Long-Term Investments at Buckle came in at $32.39 million, up 15.2% from FY2025.
- Long-Term Investments has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Investments was $28.12 million in FY2025 (+12.5%), $24.99 million in FY2024 (+21.2%), $20.62 million in FY2023 (+6.6%) and $19.35 million in FY2022 (+5.6%).
- The fiscal Q2 2027 figure marks the highest quarterly Long-Term Investments since fiscal Q3 2016.
- Compared with a year earlier, Long-Term Investments has increased for 15 straight quarters, with growth averaging 14.8% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q4 2024 (growth of 21.2%); the worst was fiscal Q3 2023 (a decline of 2.2%).
- Per Business Quant data, BKE's Long-Term Investments in the three fiscal quarters before Q2 2027 was $33.81 million (Q1 2027), $32.39 million (Q4 2026) and $31.16 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 179.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 119.90 Mn |
| 10 | Buckle | 2.21 Bn | 1.02 Bn | 153.02 Mn | 35.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 35.73 Mn |
| May 2, 2026 | 33.81 Mn |
| Jan 31, 2026 | 32.39 Mn |
| Nov 1, 2025 | 31.16 Mn |
| Aug 2, 2025 | 29.63 Mn |
| May 3, 2025 | 28.28 Mn |
| Feb 1, 2025 | 28.12 Mn |
| Nov 2, 2024 | 27.26 Mn |
| Aug 3, 2024 | 26.98 Mn |
| May 4, 2024 | 26.76 Mn |
| Feb 3, 2024 | 24.99 Mn |
| Oct 28, 2023 | 22.51 Mn |
| Jul 29, 2023 | 23.62 Mn |
| Apr 29, 2023 | 22.51 Mn |
| Jan 28, 2023 | 20.62 Mn |
| Oct 29, 2022 | 19.58 Mn |
| Jul 30, 2022 | 20.64 Mn |
| Apr 30, 2022 | 20.14 Mn |
| Jan 29, 2022 | 19.35 Mn |
| Oct 30, 2021 | 20.02 Mn |
Buckle Long-Term Investments 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=long-term-investments&ticker=BKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "BKE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=BKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();