Fly-E (FLYE) Depreciation and Depletion (2023 - 2026)
Fly-E (FLYE) posted Depreciation and Depletion of $159,442 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 25.1% from $212,792 a year earlier but up 16.6% from the prior quarter.
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Analysis
Fly-E (FLYE) Depreciation and Depletion (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Fly-E was $666,033, down 10.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $719,383, up 14.0% from FY2025.
- Annual Depreciation and Depletion has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 70.2% (FY2023 to FY2026).
- In prior fiscal years, Fly-E's Depreciation and Depletion was $631,280 in FY2025 (+131.5%), $272,708 in FY2024 (+87.1%) and $145,783 in FY2023.
- Quarterly Depreciation and Depletion has run from a low of $13,229 in fiscal Q3 2024 to a high of $320,370 in fiscal Q4 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 173.3%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was fiscal Q3 2025, with growth of 841.8%; the weakest was fiscal Q4 2026, with a decline of 57.3%.
- According to Business Quant data, Depreciation and Depletion for the three prior fiscal quarters was $136,784 (Q4 2026), $165,341 (Q3 2026) and $204,466 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 1.37 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | - |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 24.66 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 1.30 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 1.87 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 227.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | - |
| 10 | Fly-E | 2.25 Mn | -906,574.33 | 299,864.00 | 159,442.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159,442.00 |
| Mar 31, 2026 | 136,784.00 |
| Dec 31, 2025 | 165,341.00 |
| Sep 30, 2025 | 204,466.00 |
| Jun 30, 2025 | 212,792.00 |
| Mar 31, 2025 | 320,370.00 |
| Dec 31, 2024 | 124,588.00 |
| Sep 30, 2024 | 85,859.00 |
| Jun 30, 2024 | 95,051.00 |
| Mar 31, 2024 | 68,920.00 |
| Dec 31, 2023 | 13,229.00 |
| Sep 30, 2023 | 126,891.00 |
| Jun 30, 2023 | 63,668.00 |
API Access
Fly-E Depreciation and Depletion 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=depreciation-and-depletion&ticker=FLYE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "FLYE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=FLYE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();