Mosaic (MOS) Long-Term Debt Repayments (2009 - 2026)
Mosaic (MOS) reported Long-Term Debt Repayments of $284.7 million for Q2 2026, down 2.4% from $291.6 million a year earlier but up 2.8% from the prior quarter.
Mosaic (MOS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mosaic's Long-Term Debt Repayments came in at $1.03 billion, up 18.7% year-over-year; for FY2025, it came in at $979.5 million, up 19.1% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $822.2 million in FY2024 (-66.1%), $2.43 billion in FY2023 (+16.4%), $2.09 billion in FY2022 (+27.5%) and $1.64 billion in FY2021 (+33.8%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $117.5 million in Q3 2024 and a high of $1.37 billion in Q4 2023.
- Year over year, Long-Term Debt Repayments gained in three of the last eight quarters, with growth averaging 1.7%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q3 2021 (growth of 381.6%); the low point was Q4 2024 (a decline of 82.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $277 million (Q1 2026), $225.6 million (Q4 2025) and $245.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 1.01 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 376.00 Mn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 500.00 Mn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 74.10 Mn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | - |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | - |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 366.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 359.00 Mn |
| 10 | Mosaic | 6.99 Bn | 5.87 Bn | 84.10 Mn | 1.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.60 Bn |
| Jun 30, 2026 | 284.70 Mn |
| Mar 31, 2026 | 277.00 Mn |
| Dec 31, 2025 | 225.60 Mn |
| Sep 30, 2025 | 245.70 Mn |
| Jun 30, 2025 | 291.60 Mn |
| Mar 31, 2025 | 216.60 Mn |
| Dec 31, 2024 | 244.70 Mn |
| Sep 30, 2024 | 117.50 Mn |
| Jun 30, 2024 | 218.50 Mn |
| Mar 31, 2024 | 241.50 Mn |
| Dec 31, 2023 | 1.37 Bn |
| Sep 30, 2023 | 254.40 Mn |
| Jun 30, 2023 | 404.80 Mn |
| Mar 31, 2023 | 396.20 Mn |
| Dec 31, 2022 | 898.30 Mn |
| Sep 30, 2022 | 389.30 Mn |
| Jun 30, 2022 | 322.70 Mn |
| Mar 31, 2022 | 476.60 Mn |
| Dec 31, 2021 | 366.30 Mn |
Mosaic 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=MOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "MOS", "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=MOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();