Tandy Leather Factory (TLF) Retained Earnings (2010 - 2026)
Tandy Leather Factory (TLF) recorded Retained Earnings of $55.42 million in Q2 2026, down 13.7% from $64.22 million a year earlier but up 0.7% from the prior quarter.
Tandy Leather Factory (TLF) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Tandy Leather Factory reported Retained Earnings of $60.84 million, down 5.6% from FY2024.
- Annual Retained Earnings has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $64.49 million in FY2024 (+1.3%), $63.66 million in FY2023 (+6.3%), $59.89 million in FY2022 (+2.1%) and $58.66 million in FY2021 (+2.4%).
- Quarterly Retained Earnings has ranged from $55.01 million in Q1 2026 to $64.49 million in Q4 2024 over the past five years.
- On a year-over-year basis, Retained Earnings has declined for five consecutive quarters, with an average decline of 4.0% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 6.3% in Q4 2023, against a decline of 14.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.01 million (Q1 2026), $60.84 million (Q4 2025) and $61.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 343.44 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 97.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 9.97 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | -8.19 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 5.32 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 10.89 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | -3.42 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 551.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | -3.75 Bn |
| 10 | Tandy Leather Factory | 20.64 Mn | -24.00 Mn | 11.70 Mn | 55.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.42 Mn |
| Mar 31, 2026 | 55.01 Mn |
| Dec 31, 2025 | 60.84 Mn |
| Sep 30, 2025 | 61.77 Mn |
| Jun 30, 2025 | 64.22 Mn |
| Mar 31, 2025 | 64.42 Mn |
| Dec 31, 2024 | 64.49 Mn |
| Sep 30, 2024 | 64.15 Mn |
| Jun 30, 2024 | 64.29 Mn |
| Mar 31, 2024 | 64.18 Mn |
| Dec 31, 2023 | 63.66 Mn |
| Sep 30, 2023 | 61.72 Mn |
| Jun 30, 2023 | 61.09 Mn |
| Mar 31, 2023 | 60.56 Mn |
| Dec 31, 2022 | 59.89 Mn |
| Sep 30, 2022 | 59.44 Mn |
| Jun 30, 2022 | 58.72 Mn |
| Mar 31, 2022 | 59.31 Mn |
| Dec 31, 2021 | 58.66 Mn |
| Sep 30, 2021 | 58.58 Mn |
Tandy Leather Factory Retained Earnings 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=retained-earnings&ticker=TLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "TLF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=TLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();