Flowserve (FLS) Total Liabilities (2009 - 2026)
Flowserve's Total Liabilities came in at $3.99 billion for Q2 2026, up 17.3% from $3.4 billion a year earlier and up 15.6% from the prior quarter.
Analysis
Flowserve (FLS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Flowserve's Total Liabilities was $3.45 billion, up 0.1% from FY2024.
- Total Liabilities has increased in each of the last four years, though with a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $3.45 billion in FY2024 (+10.1%), $3.13 billion in FY2023 (+6.9%), $2.93 billion in FY2022 (+0.7%) and $2.91 billion in FY2021 (-18.0%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q2 2009.
- Year-over-year, Total Liabilities has increased for 15 consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 17.3%), and the weakest in Q3 2022 (a decline of 26.0%).
- Business Quant data shows FLS's Total Liabilities at $3.45 billion (Q1 2026), $3.45 billion (Q4 2025) and $3.51 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Flowserve | 9.29 Bn | 6.24 Bn | 384.73 Mn | 3.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.99 Bn |
| Mar 31, 2026 | 3.45 Bn |
| Dec 31, 2025 | 3.45 Bn |
| Sep 30, 2025 | 3.51 Bn |
| Jun 30, 2025 | 3.40 Bn |
| Mar 31, 2025 | 3.35 Bn |
| Dec 31, 2024 | 3.45 Bn |
| Sep 30, 2024 | 3.17 Bn |
| Jun 30, 2024 | 3.15 Bn |
| Mar 31, 2024 | 3.15 Bn |
| Dec 31, 2023 | 3.13 Bn |
| Sep 30, 2023 | 3.05 Bn |
| Jun 30, 2023 | 3.00 Bn |
| Mar 31, 2023 | 3.00 Bn |
| Dec 31, 2022 | 2.93 Bn |
| Sep 30, 2022 | 2.81 Bn |
| Jun 30, 2022 | 2.83 Bn |
| Mar 31, 2022 | 2.91 Bn |
| Dec 31, 2021 | 2.91 Bn |
| Sep 30, 2021 | 3.80 Bn |
API Access
Flowserve Total Liabilities 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=total-liabilities&ticker=FLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();