Standard Motor Products (SMP) Net Cash Flow (2009 - 2026)
Standard Motor Products (SMP) reported Net Cash Flow of $27.75 million for Q3 2026, down 3.1% from $28.63 million a year earlier but up 62.6% from the prior quarter.
Standard Motor Products (SMP) Net Cash Flow (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Standard Motor Products' Net Cash Flow came in at $14.51 million, down 71.1% year-over-year; for FY2025, it was $21.51 million, up 184.6% from FY2024.
- Net Cash Flow has a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- By year, Net Cash Flow came in at $7.56 million in FY2024 (-15.6%), $8.95 million in FY2023, $150,000 in FY2022 (-95.5%) and $3.33 million in FY2021 (-61.2%).
- Five-year quarterly Net Cash Flow spans a low of -$17.52 million in Q4 2025 and a high of $28.63 million in Q3 2025.
- Year over year, Net Cash Flow gained in three of the last four quarters, with growth averaging 287.4%.
- The high point for year-over-year Net Cash Flow in five years was Q2 2025 (growth of 429.3%); the low point was Q3 2024 (a decline of 83.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $17.07 million (Q2 2026), -$12.79 million (Q1 2026) and -$17.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 2.61 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 517.88 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 3.39 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 3.69 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | -4.80 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -81.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | -72.00 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | -376.32 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | -2.87 Bn |
| 10 | Standard Motor Products | 996.89 Mn | 696.88 Mn | 165.59 Mn | 27.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.75 Mn |
| Jun 30, 2026 | 17.07 Mn |
| Mar 31, 2026 | -12.79 Mn |
| Dec 31, 2025 | -17.52 Mn |
| Sep 30, 2025 | 28.63 Mn |
| Jun 30, 2025 | 4.32 Mn |
| Mar 31, 2025 | 6.08 Mn |
| Dec 31, 2024 | 11.14 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 816,000.00 |
| Mar 31, 2024 | -5.41 Mn |
| Dec 31, 2023 | 2.11 Mn |
| Sep 30, 2023 | 6.00 Mn |
| Jun 30, 2023 | -1.71 Mn |
| Mar 31, 2023 | 2.55 Mn |
| Dec 31, 2022 | 3.10 Mn |
| Sep 30, 2022 | 3.92 Mn |
| Jun 30, 2022 | -4.79 Mn |
| Mar 31, 2022 | -2.08 Mn |
| Dec 31, 2021 | -10.88 Mn |
Standard Motor Products Net Cash Flow 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=net-cash-flow&ticker=SMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();