Gilead Sciences (GILD) Depreciation & Amortization (CF) (2009 - 2026)
Gilead Sciences (GILD) recorded Depreciation & Amortization (CF) of $98 million in Q2 2026, up 5.4% from $93 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Gilead Sciences (GILD) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Gilead Sciences' Depreciation & Amortization (CF) came in at $371 million as of Jun 30, 2026, down 2.1% year-over-year; for FY2025, it came in at $370 million, down 2.9% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $381 million in FY2024 (+7.6%), $354 million in FY2023 (+9.6%), $323 million in FY2022 (-1.8%) and $329 million in FY2021 (+14.2%).
- On a year-over-year basis, Depreciation & Amortization (CF) rose in four of the last eight quarters, with growth averaging 0.4%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 18.1% in Q2 2024, against a decline of 7.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $93 million (Q1 2026), $90 million (Q4 2025) and $90 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 56.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.00 Mn |
| Mar 31, 2026 | 93.00 Mn |
| Dec 31, 2025 | 90.00 Mn |
| Sep 30, 2025 | 90.00 Mn |
| Jun 30, 2025 | 93.00 Mn |
| Mar 31, 2025 | 97.00 Mn |
| Dec 31, 2024 | 95.00 Mn |
| Sep 30, 2024 | 94.00 Mn |
| Jun 30, 2024 | 98.00 Mn |
| Mar 31, 2024 | 94.00 Mn |
| Dec 31, 2023 | 91.00 Mn |
| Sep 30, 2023 | 86.00 Mn |
| Jun 30, 2023 | 83.00 Mn |
| Mar 31, 2023 | 94.00 Mn |
| Dec 31, 2022 | 83.00 Mn |
| Sep 30, 2022 | 80.00 Mn |
| Jun 30, 2022 | 80.00 Mn |
| Mar 31, 2022 | 80.00 Mn |
| Dec 31, 2021 | 90.00 Mn |
| Sep 30, 2021 | 82.00 Mn |
API Access
Gilead Sciences 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=GILD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "GILD", "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=GILD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();