Stoneridge (SRI) Total Non-Current Liabilities (2009 - 2026)
Stoneridge's Total Non-Current Liabilities came in at $21.81 million for Q3 2026, down 89.1% from $200.87 million a year earlier and down 87.6% from the prior quarter.
Stoneridge (SRI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Stoneridge's Total Non-Current Liabilities was $213.85 million, down 5.5% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $226.32 million in FY2024 (+5.8%), $213.94 million in FY2023 (+10.6%), $193.47 million in FY2022 (-1.5%) and $196.38 million in FY2021 (+9.9%).
- The Q3 2026 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 16.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 840.9%), and the weakest in Q3 2026 (a decline of 89.1%).
- Business Quant data shows SRI's Total Non-Current Liabilities at $175.55 million (Q2 2026), $183.21 million (Q1 2026) and $213.85 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Stoneridge | 144.69 Mn | -113.87 Mn | 11.51 Mn | 21.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.81 Mn |
| Jun 30, 2026 | 175.55 Mn |
| Mar 31, 2026 | 183.21 Mn |
| Dec 31, 2025 | 213.85 Mn |
| Sep 30, 2025 | 200.87 Mn |
| Jun 30, 2025 | 194.74 Mn |
| Mar 31, 2025 | 229.10 Mn |
| Dec 31, 2024 | 226.32 Mn |
| Sep 30, 2024 | 221.28 Mn |
| Jun 30, 2024 | 209.95 Mn |
| Mar 31, 2024 | 217.91 Mn |
| Dec 31, 2023 | 213.94 Mn |
| Sep 30, 2023 | 23.52 Mn |
| Jun 30, 2023 | 24.23 Mn |
| Mar 31, 2023 | 192.50 Mn |
| Dec 31, 2022 | 193.47 Mn |
| Sep 30, 2022 | 190.94 Mn |
| Jun 30, 2022 | 185.42 Mn |
| Mar 31, 2022 | 177.88 Mn |
| Dec 31, 2021 | 196.38 Mn |
Stoneridge Total Non-Current 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-non-current-liabilities&ticker=SRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=SRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();