Werewolf Therapeutics (HOWL) Depreciation & Amortization (CF) (2020 - 2026)
Werewolf Therapeutics' Depreciation & Amortization (CF) came in at $2.45 million for Q2 2026, up 503.9% from $406,000 a year earlier and up 516.1% from the prior quarter.
Werewolf Therapeutics (HOWL) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Werewolf Therapeutics reported Depreciation & Amortization (CF) of $3.65 million, up 111.3% year-over-year; for FY2025, it came in at $1.63 million, down 9.9% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 61.2% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $1.81 million in FY2024 (+2.8%), $1.76 million in FY2023 (+59.8%), $1.1 million in FY2022 (+411.1%) and $216,000 in FY2021 (+44.0%).
- The Q2 2026 figure represents the highest quarterly Depreciation & Amortization (CF) in data going back to Q1 2020.
- Year-over-year, Depreciation & Amortization (CF) increased in two of the last eight quarters, with growth averaging 57.0%.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q2 2026 (growth of 503.9%), and the weakest in Q4 2021 (a decline of 63.6%).
- Business Quant data shows HOWL's Depreciation & Amortization (CF) at $398,000 (Q1 2026), $400,000 (Q4 2025) and $402,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Werewolf Therapeutics | 49.09 Mn | -142.18 Mn | - | 2.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.45 Mn |
| Mar 31, 2026 | 398,000.00 |
| Dec 31, 2025 | 400,000.00 |
| Sep 30, 2025 | 402,000.00 |
| Jun 30, 2025 | 406,000.00 |
| Mar 31, 2025 | 426,000.00 |
| Dec 31, 2024 | 442,000.00 |
| Sep 30, 2024 | 454,000.00 |
| Jun 30, 2024 | 454,000.00 |
| Mar 31, 2024 | 464,000.00 |
| Dec 31, 2023 | 460,000.00 |
| Sep 30, 2023 | 445,000.00 |
| Jun 30, 2023 | 434,000.00 |
| Mar 31, 2023 | 425,000.00 |
| Dec 31, 2022 | 417,000.00 |
| Sep 30, 2022 | 404,000.00 |
| Jun 30, 2022 | 185,000.00 |
| Mar 31, 2022 | 98,000.00 |
| Dec 31, 2021 | 16,000.00 |
| Sep 30, 2021 | 99,000.00 |
Werewolf Therapeutics 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=HOWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "HOWL", "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=HOWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();