CytoDyn (CYDY) Depreciation & Amortization (CF) (2009 - 2026)
CytoDyn (CYDY) recorded Depreciation & Amortization (CF) of $19,000 in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 375.0% from $4,000 a year earlier and up 375.0% from the prior quarter.
CytoDyn (CYDY) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, CytoDyn's Depreciation & Amortization (CF) came in at $32,000 as of Aug 31, 2026, up 88.2% year-over-year; for FY2026 (ended May 31, 2026), it came in at $17,000, down 5.6% from FY2025.
- Annual Depreciation & Amortization (CF) has declined for six straight fiscal years, with a five-year compound annual growth rate of -60.6% (FY2021 to FY2026).
- Across earlier fiscal years, Depreciation & Amortization (CF) came in at $18,000 in FY2025 (-37.9%), $29,000 in FY2024 (-83.4%), $175,000 in FY2023 (-77.6%) and $781,000 in FY2022 (-56.5%).
- The fiscal Q1 2027 figure is the highest quarterly Depreciation & Amortization (CF) since fiscal Q2 2023.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in two of the last eight quarters, with growth averaging 35.2%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 375.0% in fiscal Q1 2027, against a decline of 91.9% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4,000 (Q4 2026), $4,000 (Q3 2026) and $5,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | CytoDyn | 334.50 Mn | 285.65 Mn | - | 19,000.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 19,000.00 |
| May 31, 2026 | 4,000.00 |
| Feb 28, 2026 | 4,000.00 |
| Nov 30, 2025 | 5,000.00 |
| Aug 31, 2025 | 4,000.00 |
| May 31, 2025 | 4,000.00 |
| Feb 28, 2025 | 5,000.00 |
| Nov 30, 2024 | 4,000.00 |
| Aug 31, 2024 | 5,000.00 |
| May 31, 2024 | 4,000.00 |
| Feb 29, 2024 | 7,000.00 |
| Nov 30, 2023 | 8,000.00 |
| Aug 31, 2023 | 10,000.00 |
| May 31, 2023 | 10,000.00 |
| Feb 28, 2023 | 12,000.00 |
| Nov 30, 2022 | 54,000.00 |
| Aug 31, 2022 | 99,000.00 |
| May 31, 2022 | 124,000.00 |
| Feb 28, 2022 | 129,000.00 |
| Nov 30, 2021 | 252,000.00 |
CytoDyn Depreciation & Amortization (CF) 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-amortization-cf&ticker=CYDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "CYDY", "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-amortization-cf&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();