Mitesco (MITI) Change in Accrued Expenses (2009 - 2026)
Mitesco (MITI) posted Change in Accured Expenses of $23,191 for Q2 2026, down 93.5% from $357,986 a year earlier and down 80.9% from the prior quarter.
Mitesco (MITI) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Mitesco was -$13,770; for FY2025, it was $416,151, up 112.8% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In prior years, Mitesco's Change in Accured Expenses was $195,578 in FY2024 (-86.9%), $1.49 million in FY2023 (-40.1%), $2.49 million in FY2022 and $205,795 in FY2021 (-60.6%).
- Quarterly Change in Accured Expenses has run from a low of -$1.45 million in Q4 2021 to a high of $1.94 million in Q3 2021 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 190.7%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q1 2025, with growth of 922.0%; the weakest was Q1 2024, with a decline of 95.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $121,640 (Q1 2026), -$784,294 (Q4 2025) and $625,693 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,959.78 Bn | 3,895.27 Bn | 62.56 Bn | - |
| 2 | International Business Machines | 231.09 Bn | 186.37 Bn | 9.71 Bn | - |
| 3 | Cloudflare | 109.27 Bn | 91.71 Bn | 557.23 Mn | 58.23 Mn |
| 4 | Equinix | 103.94 Bn | 91.83 Bn | 1.31 Bn | 168.00 Mn |
| 5 | Nebius | 33.90 Bn | 7.34 Bn | 448.70 Mn | 23.10 Mn |
| 6 | Verisign | 27.94 Bn | 25.29 Bn | 393.20 Mn | 23.30 Mn |
| 7 | CoreWeave | 26.85 Bn | 26.85 Bn | - | 309.00 Mn |
| 8 | Nutanix | 16.04 Bn | 7.73 Bn | 651.35 Mn | 97.90 Mn |
| 9 | GoDaddy | 13.84 Bn | 9.22 Bn | 843.00 Mn | - |
| 10 | Mitesco | 209,405.97 | 98,710.97 | 20,000.00 | 23,191.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23,191.00 |
| Mar 31, 2026 | 121,640.00 |
| Dec 31, 2025 | -784,294.00 |
| Sep 30, 2025 | 625,693.00 |
| Jun 30, 2025 | 357,986.00 |
| Mar 31, 2025 | 216,766.00 |
| Dec 31, 2024 | 500,082.00 |
| Sep 30, 2024 | -257,786.00 |
| Jun 30, 2024 | -67,927.00 |
| Mar 31, 2024 | 21,209.00 |
| Dec 31, 2023 | 640,829.00 |
| Sep 30, 2023 | 93,164.00 |
| Jun 30, 2023 | 255,399.00 |
| Mar 31, 2023 | 501,998.00 |
| Dec 31, 2022 | 987,500.00 |
| Sep 30, 2022 | 567,684.00 |
| Jun 30, 2022 | 400,088.00 |
| Mar 31, 2022 | 534,132.00 |
| Dec 31, 2021 | -1.45 Mn |
| Sep 30, 2021 | 1.94 Mn |
Mitesco Change in Accrued 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=change-in-accured-expenses&ticker=MITI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "MITI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=MITI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();