Stoneridge (SRI) Depreciation and Depletion (2010 - 2026)
Stoneridge (SRI) reported Depreciation and Depletion of $3.37 million for Q2 2026, down 37.0% from $5.35 million a year earlier and down 1.8% from the prior quarter.
Stoneridge (SRI) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Stoneridge's Depreciation and Depletion came in at $19.76 million, down 17.2% year-over-year; for FY2025, it came in at $23.73 million, down 9.2% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $26.14 million in FY2024 (-2.3%), $26.75 million in FY2023 (+0.1%), $26.72 million in FY2022 (-4.0%) and $27.82 million in FY2021 (+1.9%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation and Depletion in data going back to Q3 2010.
- Year over year, Depreciation and Depletion has now declined in each of the last three quarters, with an average decline of 14.8% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2025 (growth of 8.3%); the low point was Q2 2026 (a decline of 37.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.43 million (Q1 2026), $5.76 million (Q4 2025) and $7.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Stoneridge | 191.68 Mn | -57.41 Mn | 36.83 Mn | 3.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.37 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 5.76 Mn |
| Sep 30, 2025 | 7.19 Mn |
| Jun 30, 2025 | 5.35 Mn |
| Mar 31, 2025 | 5.43 Mn |
| Dec 31, 2024 | 6.45 Mn |
| Sep 30, 2024 | 6.64 Mn |
| Jun 30, 2024 | 6.45 Mn |
| Mar 31, 2024 | 6.60 Mn |
| Dec 31, 2023 | 6.95 Mn |
| Sep 30, 2023 | 6.64 Mn |
| Jun 30, 2023 | 6.59 Mn |
| Mar 31, 2023 | 6.57 Mn |
| Dec 31, 2022 | 6.54 Mn |
| Sep 30, 2022 | 6.57 Mn |
| Jun 30, 2022 | 6.74 Mn |
| Mar 31, 2022 | 6.88 Mn |
| Dec 31, 2021 | 6.99 Mn |
| Sep 30, 2021 | 6.73 Mn |
Stoneridge Depreciation and Depletion 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=depreciation-and-depletion&ticker=SRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();