Replimune (REPL) Depreciation & Amortization (CF) (2017 - 2026)
Replimune's Depreciation & Amortization (CF) came in at $937,000 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 4.1% from $900,000 a year earlier and up 28.0% from the prior quarter.
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Replimune (REPL) Depreciation & Amortization (CF) (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Replimune reported Depreciation & Amortization (CF) of $3.27 million, down 9.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $3.33 million, down 4.9% from FY2025.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation & Amortization (CF) was $3.5 million in FY2025 (+29.7%), $2.7 million in FY2024 (+10.3%), $2.45 million in FY2023 (+14.0%) and $2.15 million in FY2022 (+25.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Depreciation & Amortization (CF) since fiscal Q3 2025.
- Year-over-year, Depreciation & Amortization (CF) increased in five of the last eight quarters, with growth averaging 9.1%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in fiscal Q3 2025 (growth of 42.9%), and the weakest in fiscal Q3 2026 (a decline of 20.0%).
- Business Quant data shows REPL's Depreciation & Amortization (CF) at $732,000 (Q4 2026), $800,000 (Q3 2026) and $800,000 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Replimune | 1.14 Bn | 79.22 Mn | - | 937,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 937,000.00 |
| Mar 31, 2026 | 732,000.00 |
| Dec 31, 2025 | 800,000.00 |
| Sep 30, 2025 | 800,000.00 |
| Jun 30, 2025 | 900,000.00 |
| Mar 31, 2025 | 802,000.00 |
| Dec 31, 2024 | 1.00 Mn |
| Sep 30, 2024 | 900,000.00 |
| Jun 30, 2024 | 736,000.00 |
| Mar 31, 2024 | 700,000.00 |
| Dec 31, 2023 | 700,000.00 |
| Sep 30, 2023 | 700,000.00 |
| Jun 30, 2023 | 621,000.00 |
| Mar 31, 2023 | 528,000.00 |
| Dec 31, 2022 | 682,000.00 |
| Sep 30, 2022 | 617,000.00 |
| Jun 30, 2022 | 620,000.00 |
| Mar 31, 2022 | 549,000.00 |
| Dec 31, 2021 | 548,000.00 |
| Sep 30, 2021 | 532,000.00 |
API Access
Replimune 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=REPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "REPL", "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=REPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();