Flowserve (FLS) Accumulated Expenses (2009 - 2026)
Flowserve's Accumulated Expenses came in at $556.77 million for Q3 2026, up 2.6% from $542.71 million a year earlier but down 0.9% from the prior quarter.
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Analysis
Flowserve (FLS) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Flowserve's Accumulated Expenses was $587.48 million, up 4.6% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $561.49 million in FY2024 (+11.3%), $504.43 million in FY2023 (+18.0%), $427.58 million in FY2022 (-3.9%) and $445.09 million in FY2021 (-3.9%).
- The five-year range for quarterly Accumulated Expenses is $374.58 million (Q2 2022) to $587.48 million (Q4 2025).
- Year-over-year, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2023 (growth of 20.7%), and the weakest in Q3 2022 (a decline of 18.3%).
- Business Quant data shows FLS's Accumulated Expenses at $561.75 million (Q2 2026), $499.61 million (Q1 2026) and $587.48 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Flowserve | 10.86 Bn | 7.91 Bn | 414.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 556.77 Mn |
| Jun 30, 2026 | 561.75 Mn |
| Mar 31, 2026 | 499.61 Mn |
| Dec 31, 2025 | 587.48 Mn |
| Sep 30, 2025 | 542.71 Mn |
| Jun 30, 2025 | 495.43 Mn |
| Mar 31, 2025 | 481.89 Mn |
| Dec 31, 2024 | 561.49 Mn |
| Sep 30, 2024 | 472.45 Mn |
| Jun 30, 2024 | 457.70 Mn |
| Mar 31, 2024 | 547.38 Mn |
| Dec 31, 2023 | 504.43 Mn |
| Sep 30, 2023 | 461.84 Mn |
| Jun 30, 2023 | 441.52 Mn |
| Mar 31, 2023 | 455.31 Mn |
| Dec 31, 2022 | 427.58 Mn |
| Sep 30, 2022 | 382.54 Mn |
| Jun 30, 2022 | 374.58 Mn |
| Mar 31, 2022 | 447.18 Mn |
| Dec 31, 2021 | 445.09 Mn |
API Access
Flowserve Accumulated 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=accumulated-expenses&ticker=FLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();