Stoneridge (SRI) Capital Expenditures (2010 - 2026)
Stoneridge (SRI) recorded Capital Expenditures of $4.57 million in Q2 2026, up 39.3% from $3.28 million a year earlier and up 447.0% from the prior quarter.
Stoneridge (SRI) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Stoneridge's Capital Expenditures came in at $17.91 million as of Jun 30, 2026, down 13.6% year-over-year; for FY2025, it came in at $21.85 million, down 10.1% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $24.3 million in FY2024 (-36.9%), $38.5 million in FY2023 (+21.8%), $31.61 million in FY2022 (+16.9%) and $27.03 million in FY2021 (-16.7%).
- Quarterly Capital Expenditures has ranged from $836,000 in Q1 2026 to $10.56 million in Q3 2023 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with an average decline of 20.5%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 60.1% in Q4 2022, against a decline of 86.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $836,000 (Q1 2026), $6.2 million (Q4 2025) and $6.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Stoneridge | 188.83 Mn | -60.27 Mn | 36.83 Mn | 4.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.57 Mn |
| Mar 31, 2026 | 836,000.00 |
| Dec 31, 2025 | 6.20 Mn |
| Sep 30, 2025 | 6.30 Mn |
| Jun 30, 2025 | 3.28 Mn |
| Mar 31, 2025 | 6.07 Mn |
| Dec 31, 2024 | 5.25 Mn |
| Sep 30, 2024 | 6.13 Mn |
| Jun 30, 2024 | 7.13 Mn |
| Mar 31, 2024 | 5.80 Mn |
| Dec 31, 2023 | 9.91 Mn |
| Sep 30, 2023 | 10.56 Mn |
| Jun 30, 2023 | 7.92 Mn |
| Mar 31, 2023 | 10.11 Mn |
| Dec 31, 2022 | 8.73 Mn |
| Sep 30, 2022 | 7.99 Mn |
| Jun 30, 2022 | 7.52 Mn |
| Mar 31, 2022 | 7.37 Mn |
| Dec 31, 2021 | 5.46 Mn |
| Sep 30, 2021 | 7.53 Mn |
Stoneridge Capital Expenditures 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=capital-expenditures&ticker=SRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "SRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=SRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();