Stoneridge (SRI) Total Liabilities (2010 - 2026)
Stoneridge's Total Liabilities came in at $357.6 million for Q2 2026, down 5.6% from $378.89 million a year earlier but up 0.5% from the prior quarter.
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Analysis
Stoneridge (SRI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Stoneridge's Total Liabilities was $371.34 million, down 1.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $376.3 million in FY2024 (-4.1%), $392.18 million in FY2023 (+5.7%), $371.16 million in FY2022 (+0.5%) and $369.45 million in FY2021 (+13.8%).
- The five-year range for quarterly Total Liabilities is $329.03 million (Q3 2021) to $407.86 million (Q2 2023).
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 4.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 13.8%), and the weakest in Q1 2026 (a decline of 12.0%).
- Business Quant data shows SRI's Total Liabilities at $355.79 million (Q1 2026), $371.34 million (Q4 2025) and $380.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Stoneridge | 188.83 Mn | -60.27 Mn | 36.83 Mn | 357.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 357.60 Mn |
| Mar 31, 2026 | 355.79 Mn |
| Dec 31, 2025 | 371.34 Mn |
| Sep 30, 2025 | 380.88 Mn |
| Jun 30, 2025 | 378.89 Mn |
| Mar 31, 2025 | 404.26 Mn |
| Dec 31, 2024 | 376.30 Mn |
| Sep 30, 2024 | 391.17 Mn |
| Jun 30, 2024 | 396.20 Mn |
| Mar 31, 2024 | 398.16 Mn |
| Dec 31, 2023 | 392.18 Mn |
| Sep 30, 2023 | 405.43 Mn |
| Jun 30, 2023 | 407.86 Mn |
| Mar 31, 2023 | 394.50 Mn |
| Dec 31, 2022 | 371.16 Mn |
| Sep 30, 2022 | 368.89 Mn |
| Jun 30, 2022 | 365.89 Mn |
| Mar 31, 2022 | 356.92 Mn |
| Dec 31, 2021 | 369.45 Mn |
| Sep 30, 2021 | 329.03 Mn |
API Access
Stoneridge Total Liabilities 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=total-liabilities&ticker=SRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();