Flowserve (FLS) Long-Term Debt Repayments (2009 - 2026)
Flowserve (FLS) posted Long-Term Debt Repayments of $68.5 million for Q2 2026, up 630.7% from $9.38 million a year earlier and up 630.7% from the prior quarter.
Flowserve (FLS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Flowserve was $96.63 million, up 14.9% year-over-year; for FY2025, it was $37.5 million, down 60.7% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -27.8% (FY2020 to FY2025).
- In prior years, Flowserve's Long-Term Debt Repayments was $95.38 million in FY2024 (+138.4%), $40 million in FY2023 (+23.1%), $32.5 million in FY2022 (-97.4%) and $1.24 billion in FY2021 (+550.2%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments since Q4 2021.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last eight quarters, with growth averaging 111.3%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2026, with growth of 630.7%; the weakest was Q4 2022, with a decline of 99.0%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $9.38 million (Q1 2026), $9.38 million (Q4 2025) and $9.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 1.54 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 1.19 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 2.40 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 74.00 Mn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 10.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.42 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 650.00 Mn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | - |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | Flowserve | 9.12 Bn | 6.01 Bn | 384.73 Mn | 68.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.50 Mn |
| Mar 31, 2026 | 9.38 Mn |
| Dec 31, 2025 | 15.26 Mn |
| Sep 30, 2025 | 9.38 Mn |
| Jun 30, 2025 | 9.38 Mn |
| Mar 31, 2025 | 9.38 Mn |
| Dec 31, 2024 | 51.83 Mn |
| Sep 30, 2024 | 15.00 Mn |
| Jun 30, 2024 | 15.00 Mn |
| Mar 31, 2024 | 15.00 Mn |
| Dec 31, 2023 | 12.60 Mn |
| Sep 30, 2023 | 10.00 Mn |
| Jun 30, 2023 | 10.00 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 10.05 Mn |
| Sep 30, 2022 | 8.32 Mn |
| Jun 30, 2022 | 8.33 Mn |
| Mar 31, 2022 | 7.59 Mn |
| Dec 31, 2021 | 845.66 Mn |
| Mar 31, 2021 | 407.47 Mn |
Flowserve Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();