Mosaic (MOS) Other Operating Expenses (2009 - 2026)
Mosaic's Other Operating Expenses came in at -$6.2 million for Q2 2026.
Analysis
Mosaic (MOS) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mosaic reported Other Operating Expenses of -$338.7 million; for FY2025, it was -$99.9 million.
- Going back by year, Other Operating Expenses was -$38 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q3 2016.
- Business Quant data shows MOS's Other Operating Expenses at -$232.6 million (Q1 2026), -$26.9 million (Q4 2025) and -$73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn |
| 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 |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn |
| 10 | Mosaic | 6.99 Bn | 5.87 Bn | 84.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -56.30 Mn |
| Jun 30, 2026 | -112.40 Mn |
| Mar 31, 2026 | -240.00 Mn |
| Dec 31, 2025 | -225.30 Mn |
| Sep 30, 2025 | -87.00 Mn |
| Jun 30, 2025 | -107.00 Mn |
| Mar 31, 2025 | -27.30 Mn |
| Dec 31, 2024 | -88.50 Mn |
| Sep 30, 2024 | -153.20 Mn |
| Jun 30, 2024 | -32.30 Mn |
| Mar 31, 2024 | -119.50 Mn |
| Dec 31, 2023 | -158.00 Mn |
| Sep 30, 2023 | -143.90 Mn |
| Jun 30, 2023 | -72.00 Mn |
| Mar 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | -134.90 Mn |
| Sep 30, 2022 | -222.80 Mn |
| Jun 30, 2022 | -63.90 Mn |
| Mar 31, 2022 | -50.90 Mn |
| Dec 31, 2021 | -55.40 Mn |
API Access
Mosaic Other 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=other-operating-expenses&ticker=MOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();