Mosaic (MOS) Operating Expenses (2009 - 2026)
Mosaic's Operating Expenses was $131.6 million in Q2 2026, down 21.3% from $167.2 million a year earlier and down 3.2% from the prior quarter.
Powered by 
Analysis
Mosaic (MOS) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mosaic's Operating Expenses was $511.6 million through Jun 30, 2026, down 7.2% year-over-year; for FY2025, it came in at $533.9 million, up 7.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $496.9 million in FY2024 (-0.7%), $500.5 million in FY2023 (+0.5%), $498 million in FY2022 (-15.4%) and $588.6 million in FY2021 (+58.4%).
- Quarterly Operating Expenses has moved between $97.7 million (Q3 2021) and $167.2 million (Q2 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 5.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 30.2%); the worst was Q2 2022 (a decline of 59.3%).
- Per Business Quant data, MOS's Operating Expenses in the three quarters before Q2 2026 was $135.9 million (Q1 2026), $118.6 million (Q4 2025) and $125.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 231.01 Bn | 212.59 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 114.67 Bn | 107.23 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 82.44 Bn | 81.49 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 66.67 Bn | 61.86 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 40.62 Bn | 30.13 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.54 Bn | 30.37 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 25.33 Bn | 23.36 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 25.14 Bn | 22.28 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 24.30 Bn | 16.96 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Mosaic | 5.68 Bn | 4.68 Bn | 214.70 Mn | 131.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.60 Mn |
| Mar 31, 2026 | 135.90 Mn |
| Dec 31, 2025 | 118.60 Mn |
| Sep 30, 2025 | 125.50 Mn |
| Jun 30, 2025 | 167.20 Mn |
| Mar 31, 2025 | 122.60 Mn |
| Dec 31, 2024 | 113.50 Mn |
| Sep 30, 2024 | 148.20 Mn |
| Jun 30, 2024 | 128.40 Mn |
| Mar 31, 2024 | 106.80 Mn |
| Dec 31, 2023 | 123.00 Mn |
| Sep 30, 2023 | 119.90 Mn |
| Jun 30, 2023 | 129.90 Mn |
| Mar 31, 2023 | 127.70 Mn |
| Dec 31, 2022 | 132.90 Mn |
| Sep 30, 2022 | 124.50 Mn |
| Jun 30, 2022 | 108.20 Mn |
| Mar 31, 2022 | 132.40 Mn |
| Dec 31, 2021 | 123.50 Mn |
| Sep 30, 2021 | 97.70 Mn |
API Access
Mosaic 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=operating-expenses&ticker=MOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();