111 (YI) Accumulated Expenses (2017 - 2026)
111 (YI) posted Accumulated Expenses of $38.5 million for Q2 2026, up 7.1% from the prior quarter.
Analysis
111 (YI) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, 111's Accumulated Expenses came in at $69.16 million, up 9.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In prior years, 111's Accumulated Expenses was $63.04 million in FY2024 (-45.3%), $115.26 million in FY2023 (+1.7%), $113.27 million in FY2022 (+38.0%) and $82.07 million in FY2021 (+63.7%).
- Quarterly Accumulated Expenses has run from a low of $35.96 million in Q1 2026 to a high of $113.65 million in Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses increased in 1 of the last six quarters, with an average decline of 25.8%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2023, with growth of 65.7%; the weakest was Q1 2025, with a decline of 53.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $35.96 million (Q1 2026), $68.19 million (Q4 2025) and $71.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unitedhealth | 332.42 Bn | 217.05 Bn | 36.67 Bn |
| 2 | Cvs Health | 109.55 Bn | 62.16 Bn | 47.23 Bn |
| 3 | Mckesson | 99.61 Bn | 86.08 Bn | 3.69 Bn |
| 4 | Elevance Health | 84.30 Bn | -57.44 Bn | 13.45 Bn |
| 5 | Cigna | 71.83 Bn | 41.37 Bn | 14.97 Bn |
| 6 | Cencora | 57.33 Bn | 46.42 Bn | 3.61 Bn |
| 7 | Cardinal Health | 51.76 Bn | 35.76 Bn | 2.56 Bn |
| 8 | Humana | 45.82 Bn | -41.98 Bn | 5.50 Bn |
| 9 | Centene | 30.70 Bn | -59.59 Bn | 14.55 Bn |
| 10 | 111 | 29.76 Mn | -82.35 Mn | 19.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.50 Mn |
| Mar 31, 2026 | 35.96 Mn |
| Dec 31, 2025 | 68.19 Mn |
| Sep 30, 2025 | 71.13 Mn |
| Mar 31, 2025 | 47.68 Mn |
| Dec 31, 2024 | 64.06 Mn |
| Sep 30, 2024 | 81.12 Mn |
| Jun 30, 2024 | 95.15 Mn |
| Mar 31, 2024 | 101.87 Mn |
| Dec 31, 2023 | 113.65 Mn |
| Sep 30, 2023 | 111.96 Mn |
| Dec 31, 2022 | 109.85 Mn |
| Sep 30, 2022 | 67.56 Mn |
| Jun 30, 2022 | 71.44 Mn |
| Dec 31, 2021 | 81.80 Mn |
| Jun 30, 2021 | 61.02 Mn |
| Mar 31, 2021 | 50.37 Mn |
| Dec 31, 2020 | 49.36 Mn |
| Sep 30, 2020 | 42.33 Mn |
| Jun 30, 2020 | 32.89 Mn |
API Access
111 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=accumulated-expenses&ticker=YI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=YI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();