Flowserve (FLS) Change in Accrued Expenses (2009 - 2026)
Flowserve's Change in Accrued Expenses came in at $20.22 million for Q3 2026, down 62.5% from $53.98 million a year earlier and down 30.9% from the prior quarter.
Flowserve (FLS) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Flowserve reported Change in Accrued Expenses of -$4.88 million; for FY2025, it was $25.21 million, down 49.2% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $49.58 million in FY2024 (-16.3%), $59.21 million in FY2023, -$5.23 million in FY2022 and -$13.95 million in FY2021.
- The five-year range for quarterly Change in Accrued Expenses is -$110.07 million (Q1 2026) to $83.43 million (Q4 2024).
- Year-over-year, Change in Accrued Expenses increased in three of the last five quarters, with growth averaging 159.5%.
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q2 2026 (growth of 485.4%), and the weakest in Q3 2026 (a decline of 62.5%).
- Business Quant data shows FLS's Change in Accrued Expenses at $29.28 million (Q2 2026), -$110.07 million (Q1 2026) and $55.7 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 762.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 67.00 Mn |
| 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 | 205.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 35.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 112.80 Mn |
| 10 | Flowserve | 10.86 Bn | 7.91 Bn | 414.38 Mn | 20.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.22 Mn |
| Jun 30, 2026 | 29.28 Mn |
| Mar 31, 2026 | -110.07 Mn |
| Dec 31, 2025 | 55.70 Mn |
| Sep 30, 2025 | 53.98 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | -89.47 Mn |
| Dec 31, 2024 | 83.43 Mn |
| Sep 30, 2024 | 13.95 Mn |
| Jun 30, 2024 | -78.71 Mn |
| Mar 31, 2024 | 30.92 Mn |
| Dec 31, 2023 | 37.78 Mn |
| Sep 30, 2023 | 23.52 Mn |
| Jun 30, 2023 | -37.47 Mn |
| Mar 31, 2023 | 35.37 Mn |
| Dec 31, 2022 | 27.51 Mn |
| Sep 30, 2022 | 33.04 Mn |
| Jun 30, 2022 | -73.08 Mn |
| Mar 31, 2022 | 7.30 Mn |
| Dec 31, 2021 | -23.08 Mn |
Flowserve Change in Accrued 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=change-in-accured-expenses&ticker=FLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();