Zoetis (ZTS) Asset Writedowns and Impairment (2012 - 2026)
Zoetis (ZTS) recorded Asset Writedowns and Impairment of $13 million in Q2 2026, down 18.8% from $16 million a year earlier and unchanged from the prior quarter.
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Analysis
Zoetis (ZTS) Asset Writedowns and Impairment (2012 - 2026) Analysis & Trends
On a TTM basis, Zoetis' Asset Writedowns and Impairment came in at $59 million as of Jun 30, 2026, down 34.4% year-over-year; for FY2025, it came in at $68 million, down 29.9% from FY2024.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- Across earlier years, Asset Writedowns and Impairment came in at $97 million in FY2024 (-15.7%), $115 million in FY2023 (+51.3%), $76 million in FY2022 (+61.7%) and $47 million in FY2021 (-55.2%).
- Quarterly Asset Writedowns and Impairment has ranged from $9 million in Q1 2022 to $35 million in Q3 2023 over the past five years.
- On a year-over-year basis, Asset Writedowns and Impairment has declined for five consecutive quarters, with an average decline of 24.1% over the last eight quarters.
- Peak year-over-year performance for Asset Writedowns and Impairment in the last five years was growth of 145.5% in Q4 2022, against a decline of 77.6% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $13 million (Q1 2026), $16 million (Q4 2025) and $17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Zoetis | 28.86 Bn | 20.71 Bn | 1.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.00 Mn |
| Mar 31, 2026 | 13.00 Mn |
| Dec 31, 2025 | 16.00 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 16.00 Mn |
| Mar 31, 2025 | 19.00 Mn |
| Dec 31, 2024 | 26.00 Mn |
| Sep 30, 2024 | 29.00 Mn |
| Jun 30, 2024 | 25.00 Mn |
| Mar 31, 2024 | 17.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 35.00 Mn |
| Jun 30, 2023 | 31.00 Mn |
| Mar 31, 2023 | 16.00 Mn |
| Dec 31, 2022 | 27.00 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 22.00 Mn |
| Mar 31, 2022 | 9.00 Mn |
| Dec 31, 2021 | 11.00 Mn |
| Sep 30, 2021 | 11.00 Mn |
API Access
Zoetis 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=ZTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "ZTS", "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=ZTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();