Mitesco (MITI) Operating Leases (2020 - 2023)
Mitesco's Operating Leases was $3.52 million in Q2 2023, down 14.8% from $4.13 million a year earlier and down 0.9% from the prior quarter.
Analysis
Mitesco (MITI) Operating Leases (2020 - 2023) Analysis & Trends
At the end of FY2022, Operating Leases at Mitesco came in at $3.94 million, down 0.9% from FY2021.
- In earlier years, Operating Leases was $3.97 million in FY2021 and $312,099 in FY2020.
- The Q2 2023 figure marks the lowest quarterly Operating Leases since Q3 2021.
- Compared with a year earlier, Operating Leases has declined for three straight quarters, with growth averaging 46.8% over the last five quarters.
- Per Business Quant data, MITI's Operating Leases in the three quarters before Q2 2023 was $3.55 million (Q1 2023), $3.94 million (Q4 2022) and $4.07 million (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,949.85 Bn | 3,873.01 Bn | 60.48 Bn |
| 2 | International Business Machines | 228.00 Bn | 178.81 Bn | 9.91 Bn |
| 3 | Cloudflare | 103.51 Bn | 87.04 Bn | 499.52 Mn |
| 4 | Equinix | 97.35 Bn | 85.92 Bn | 1.40 Bn |
| 5 | Nebius | 41.52 Bn | 14.95 Bn | 448.70 Mn |
| 6 | CoreWeave | 34.23 Bn | 21.32 Bn | 1.70 Bn |
| 7 | Verisign | 27.83 Bn | 25.04 Bn | 384.60 Mn |
| 8 | Nutanix | 18.34 Bn | 10.03 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.21 Bn | 9.79 Bn | 828.20 Mn |
| 10 | Mitesco | 769,476.26 | 658,781.26 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 3.52 Mn |
| Mar 31, 2023 | 3.55 Mn |
| Dec 31, 2022 | 3.94 Mn |
| Sep 30, 2022 | 4.07 Mn |
| Jun 30, 2022 | 4.13 Mn |
| Mar 31, 2022 | 3.87 Mn |
| Dec 31, 2021 | 3.97 Mn |
| Sep 30, 2021 | 3.09 Mn |
| Jun 30, 2021 | 1.27 Mn |
| Mar 31, 2021 | 305,446.00 |
| Dec 31, 2020 | 312,099.00 |
API Access
Mitesco Operating Leases 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=operating-leases&ticker=MITI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MITI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();