Mosaic (MOS) Asset Writedowns and Impairment (2015 - 2026)
Mosaic (MOS) posted Asset Writedowns and Impairment of $6.2 million for Q2 2026, down 97.3% from the prior quarter.
Mosaic (MOS) Asset Writedowns and Impairment (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Asset Writedowns and Impairment at Mosaic was $338.7 million; for FY2025, it came in at $99.9 million.
- Annual Asset Writedowns and Impairment shows a three-year compound annual growth rate of 38.0% (FY2022 to FY2025).
- In prior years, Mosaic's Asset Writedowns and Impairment was $38 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Asset Writedowns and Impairment since Q3 2016.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $232.6 million (Q1 2026), $26.9 million (Q4 2025) and $73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn |
| 10 | Mosaic | 6.70 Bn | 5.87 Bn | 214.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.20 Mn |
| Mar 31, 2026 | 232.60 Mn |
| Dec 31, 2025 | 26.90 Mn |
| Sep 30, 2025 | 73.00 Mn |
| Sep 30, 2016 | -3.50 Mn |
| Sep 30, 2015 | 7.90 Mn |
Mosaic Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=MOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=MOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();