Flowserve (FLS) Operating Expenses (2009 - 2026)
Flowserve (FLS) reported Operating Expenses of $286.4 million for Q2 2026, up 0.2% from $285.77 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Flowserve (FLS) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Flowserve's Operating Expenses came in at $1.14 billion, up 6.1% year-over-year; for FY2025, it was $1.06 billion, up 8.6% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $978.04 million in FY2024 (+1.8%), $961.17 million in FY2023 (+17.9%), $815.55 million in FY2022 (+2.3%) and $797.08 million in FY2021 (-9.2%).
- Five-year quarterly Operating Expenses spans a low of $187.11 million in Q4 2021 and a high of $325.14 million in Q3 2025.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 9.5%.
- The high point for year-over-year Operating Expenses in five years was Q4 2023 (growth of 21.3%); the low point was Q4 2021 (a decline of 7.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $283.73 million (Q1 2026), $247.86 million (Q4 2025) and $325.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Flowserve | 9.29 Bn | 6.24 Bn | 384.73 Mn | 286.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 286.40 Mn |
| Mar 31, 2026 | 283.73 Mn |
| Dec 31, 2025 | 247.86 Mn |
| Sep 30, 2025 | 325.14 Mn |
| Jun 30, 2025 | 285.77 Mn |
| Mar 31, 2025 | 262.01 Mn |
| Dec 31, 2024 | 251.97 Mn |
| Sep 30, 2024 | 277.91 Mn |
| Jun 30, 2024 | 238.63 Mn |
| Mar 31, 2024 | 228.42 Mn |
| Dec 31, 2023 | 234.75 Mn |
| Sep 30, 2023 | 252.07 Mn |
| Jun 30, 2023 | 230.08 Mn |
| Mar 31, 2023 | 244.27 Mn |
| Dec 31, 2022 | 193.59 Mn |
| Sep 30, 2022 | 221.14 Mn |
| Jun 30, 2022 | 194.61 Mn |
| Mar 31, 2022 | 206.14 Mn |
| Dec 31, 2021 | 187.11 Mn |
| Sep 30, 2021 | 200.86 Mn |
API Access
Flowserve Operating 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=operating-expenses&ticker=FLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=FLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();