Flowserve (FLS) Depreciation and Depletion (2009 - 2026)
Flowserve (FLS) posted Depreciation and Depletion of $20.09 million for Q2 2026, up 1.1% from $19.86 million a year earlier but down 1.2% from the prior quarter.
Flowserve (FLS) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Flowserve was $80.96 million, up 5.6% year-over-year; for FY2025, it was $79.24 million, up 4.5% from FY2024.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Flowserve's Depreciation and Depletion was $75.85 million in FY2024 (+3.2%), $73.46 million in FY2023 (-5.4%), $77.64 million in FY2022 (-8.9%) and $85.18 million in FY2021 (-1.2%).
- Quarterly Depreciation and Depletion has run from a low of $17.84 million in Q3 2023 to a high of $21.83 million in Q3 2021 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last five quarters, with growth averaging 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q1 2026, with growth of 8.0%; the weakest was Q4 2021, with a decline of 15.4%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $20.33 million (Q1 2026), $20.55 million (Q4 2025) and $19.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | - |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | - |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Flowserve | 9.29 Bn | 6.24 Bn | 384.73 Mn | 20.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.09 Mn |
| Mar 31, 2026 | 20.33 Mn |
| Dec 31, 2025 | 20.55 Mn |
| Sep 30, 2025 | 19.99 Mn |
| Jun 30, 2025 | 19.86 Mn |
| Mar 31, 2025 | 18.83 Mn |
| Dec 31, 2024 | 19.08 Mn |
| Sep 30, 2024 | 18.88 Mn |
| Jun 30, 2024 | 18.56 Mn |
| Mar 31, 2024 | 19.33 Mn |
| Dec 31, 2023 | 18.17 Mn |
| Sep 30, 2023 | 17.84 Mn |
| Jun 30, 2023 | 18.52 Mn |
| Mar 31, 2023 | 18.93 Mn |
| Dec 31, 2022 | 18.43 Mn |
| Sep 30, 2022 | 19.17 Mn |
| Jun 30, 2022 | 19.89 Mn |
| Mar 31, 2022 | 20.15 Mn |
| Dec 31, 2021 | 18.86 Mn |
| Sep 30, 2021 | 21.83 Mn |
Flowserve 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=FLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FLS", "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=FLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();