111 (YI) Other Accumulated Expenses (2017 - 2025)
111 (YI) recorded Other Accumulated Expenses of $249 million in Q4 2025, compared with $3.77 million a year earlier.
Analysis
111 (YI) Other Accumulated Expenses (2017 - 2025) Analysis & Trends
At the end of FY2025, 111 reported Other Accumulated Expenses of $123,000, up 50.0% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -39.0% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $82,000 in FY2024 (-95.8%), $1.96 million in FY2023 (-83.6%), $11.89 million in FY2022 (+47.7%) and $8.05 million in FY2021 (+453.0%).
- The Q4 2025 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unitedhealth | 336.54 Bn | 221.18 Bn | 36.67 Bn |
| 2 | Cvs Health | 110.50 Bn | 63.10 Bn | 47.23 Bn |
| 3 | Mckesson | 105.27 Bn | 91.73 Bn | 3.69 Bn |
| 4 | Elevance Health | 83.85 Bn | -57.90 Bn | 13.45 Bn |
| 5 | Cigna | 71.48 Bn | 41.02 Bn | 14.97 Bn |
| 6 | Cencora | 58.97 Bn | 48.06 Bn | 3.61 Bn |
| 7 | Cardinal Health | 53.10 Bn | 37.10 Bn | 2.56 Bn |
| 8 | Humana | 46.62 Bn | -41.18 Bn | 5.50 Bn |
| 9 | Centene | 31.12 Bn | -59.17 Bn | 14.55 Bn |
| 10 | 111 | 27.93 Mn | -84.17 Mn | 19.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 249.00 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Dec 31, 2023 | 3.46 Mn |
| Dec 31, 2022 | 5.60 Mn |
| Dec 31, 2021 | 3.25 Mn |
| Dec 31, 2020 | 4.16 Mn |
| Dec 31, 2019 | 2.93 Mn |
| Dec 31, 2018 | 2.34 Mn |
| Dec 31, 2017 | 1.50 Mn |
API Access
111 Other Accumulated 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-accumulated-expenses&ticker=YI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "YI", "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-accumulated-expenses&ticker=YI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();