Standard Motor Products (SMP) Long-Term Debt Repayments (2011 - 2026)
Standard Motor Products' Long-Term Debt Repayments came in at $4.2 million for Q2 2026, up 5.9% from $3.97 million a year earlier and up 6.8% from the prior quarter.
Standard Motor Products (SMP) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Standard Motor Products reported Long-Term Debt Repayments of $16.08 million, up 196.9% year-over-year; for FY2025, it came in at $15.76 million.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of 84.7% (FY2022 to FY2025).
- Going back by year, Long-Term Debt Repayments was $93,000 in FY2024 (-98.1%), $5 million in FY2023 (+100.0%) and $2.5 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q3 2024.
- Year-over-year, Long-Term Debt Repayments increased in four of the last five quarters, with growth averaging 67.6%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2025 (growth of 217.4%), and the weakest in Q3 2025 (a decline of 95.6%).
- Business Quant data shows SMP's Long-Term Debt Repayments at $3.94 million (Q1 2026), $3.97 million (Q4 2025) and $3.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 411.00 Mn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | -28.57 Mn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 9.01 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 11.78 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | -21.37 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | -5.00 Mn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | - |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | -3.27 Bn |
| 10 | Standard Motor Products | 823.35 Mn | 823.35 Mn | 164.62 Mn | 4.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.20 Mn |
| Mar 31, 2026 | 3.94 Mn |
| Dec 31, 2025 | 3.97 Mn |
| Sep 30, 2025 | 3.97 Mn |
| Jun 30, 2025 | 3.97 Mn |
| Mar 31, 2025 | 3.85 Mn |
| Dec 31, 2024 | -92.41 Mn |
| Sep 30, 2024 | 90.00 Mn |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 1.25 Mn |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | 1.25 Mn |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2016 | 11,000.00 |
| Mar 31, 2016 | -120,000.00 |
| Sep 30, 2015 | 52,000.00 |
| Jun 30, 2015 | 56,000.00 |
Standard Motor Products Long-Term Debt Repayments 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-debt-repayments&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SMP", "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-debt-repayments&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();