Stoneridge (SRI) Operating Expenses (2010 - 2026)
Stoneridge's Operating Expenses was $38.02 million in Q2 2026, down 6.2% from $40.55 million a year earlier and down 13.5% from the prior quarter.
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Analysis
Stoneridge (SRI) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stoneridge's Operating Expenses was $169.03 million through Jun 30, 2026, down 1.4% year-over-year; for FY2025, it came in at $188.13 million, down 0.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $189.63 million in FY2024 (+0.6%), $188.47 million in FY2023 (+9.6%), $171.99 million in FY2022 (-18.1%) and $209.99 million in FY2021 (+11.0%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q3 2020.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 3.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2023 (growth of 26.2%); the worst was Q2 2025 (a decline of 19.4%).
- Per Business Quant data, SRI's Operating Expenses in the three quarters before Q2 2026 was $43.93 million (Q1 2026), $41.02 million (Q4 2025) and $46.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Stoneridge | 188.83 Mn | -60.27 Mn | 36.83 Mn | 38.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.02 Mn |
| Mar 31, 2026 | 43.93 Mn |
| Dec 31, 2025 | 41.02 Mn |
| Sep 30, 2025 | 46.05 Mn |
| Jun 30, 2025 | 40.55 Mn |
| Mar 31, 2025 | 39.56 Mn |
| Dec 31, 2024 | 47.10 Mn |
| Sep 30, 2024 | 44.18 Mn |
| Jun 30, 2024 | 50.33 Mn |
| Mar 31, 2024 | 48.03 Mn |
| Dec 31, 2023 | 39.52 Mn |
| Sep 30, 2023 | 45.96 Mn |
| Jun 30, 2023 | 56.16 Mn |
| Mar 31, 2023 | 46.83 Mn |
| Dec 31, 2022 | 39.50 Mn |
| Sep 30, 2022 | 43.58 Mn |
| Jun 30, 2022 | 44.49 Mn |
| Mar 31, 2022 | 44.43 Mn |
| Dec 31, 2021 | 46.34 Mn |
| Sep 30, 2021 | 44.93 Mn |
API Access
Stoneridge Operating Expenses 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=operating-expenses&ticker=SRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();